{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.cW1LYrBv/b1/r-cran-sn_2.1.1-1_armhf.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.cW1LYrBv/b2/r-cran-sn_2.1.1-1_armhf.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,2 +1,2 @@\n \n- 81c0d75cde31336e6c356f31f128c90c 1830908 gnu-r optional r-cran-sn_2.1.1-1_all.deb\n+ e717f11ef5f463fba2f08197ea3a8fe9 1831088 gnu-r optional r-cran-sn_2.1.1-1_all.deb\n"}, {"source1": "r-cran-sn_2.1.1-1_all.deb", "source2": "r-cran-sn_2.1.1-1_all.deb", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1,3 +1,3 @@\n -rw-r--r-- 0 0 0 4 2023-04-15 01:24:58.000000 debian-binary\n -rw-r--r-- 0 0 0 1700 2023-04-15 01:24:58.000000 control.tar.xz\n--rw-r--r-- 0 0 0 1829016 2023-04-15 01:24:58.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 1829196 2023-04-15 01:24:58.000000 data.tar.xz\n"}, {"source1": "control.tar.xz", "source2": "control.tar.xz", "unified_diff": null, "details": [{"source1": "control.tar", "source2": "control.tar", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": "data.tar.xz", "source2": "data.tar.xz", "unified_diff": null, "details": [{"source1": "data.tar", "source2": "data.tar", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -16,16 +16,16 @@\n -rw-r--r-- 0 root (0) root (0) 1499 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/Meta/nsInfo.rds\n -rw-r--r-- 0 root (0) root (0) 1119 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/Meta/package.rds\n -rw-r--r-- 0 root (0) root (0) 327 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/Meta/vignette.rds\n -rw-r--r-- 0 root (0) root (0) 3225 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/NAMESPACE\n -rw-r--r-- 0 root (0) root (0) 13911 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/NEWS.Rd\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/\n -rw-r--r-- 0 root (0) root (0) 1058 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/sn\n--rw-r--r-- 0 root (0) root (0) 885149 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/sn.rdb\n--rw-r--r-- 0 root (0) root (0) 3348 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/sn.rdx\n+-rw-r--r-- 0 root (0) root (0) 885153 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/sn.rdb\n+-rw-r--r-- 0 root (0) root (0) 3355 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/R/sn.rdx\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/data/\n -rw-r--r-- 0 root (0) root (0) 5959 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/data/ais.rda\n -rw-r--r-- 0 root (0) root (0) 1584 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/data/barolo.rda\n -rw-r--r-- 0 root (0) root (0) 464 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/data/frontier.rda\n -rw-r--r-- 0 root (0) root (0) 11206 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/data/wines.rda\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/\n -rw-r--r-- 0 root (0) root (0) 1319 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/R.css\n@@ -36,17 +36,17 @@\n -rw-r--r-- 0 root (0) root (0) 113 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/pkg-overview.html.asis\n -rw-r--r-- 0 root (0) root (0) 474174 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/pkg_sn-intro.pdf\n -rw-r--r-- 0 root (0) root (0) 111 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/pkg_sn-intro.pdf.asis\n -rw-r--r-- 0 root (0) root (0) 52689 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/doc/selm-intervals.pdf\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/\n -rw-r--r-- 0 root (0) root (0) 5167 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/AnIndex\n -rw-r--r-- 0 root (0) root (0) 1453 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/aliases.rds\n--rw-r--r-- 0 root (0) root (0) 609 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/paths.rds\n--rw-r--r-- 0 root (0) root (0) 335502 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/sn.rdb\n--rw-r--r-- 0 root (0) root (0) 1437 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/sn.rdx\n+-rw-r--r-- 0 root (0) root (0) 613 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/paths.rds\n+-rw-r--r-- 0 root (0) root (0) 335742 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/sn.rdb\n+-rw-r--r-- 0 root (0) root (0) 1434 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/help/sn.rdx\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/html/\n -rw-r--r-- 0 root (0) root (0) 25789 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/html/00Index.html\n -rw-r--r-- 0 root (0) root (0) 1844 2023-04-15 01:24:58.000000 ./usr/lib/R/site-library/sn/html/R.css\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/share/\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/share/doc/\n drwxr-xr-x 0 root (0) root (0) 0 2023-04-15 01:24:58.000000 ./usr/share/doc/r-cran-sn/\n -rw-r--r-- 0 root (0) root (0) 699 2023-04-15 01:24:58.000000 ./usr/share/doc/r-cran-sn/changelog.Debian.gz\n"}, {"source1": "./usr/lib/R/site-library/sn/R/sn.rdb", "source2": "./usr/lib/R/site-library/sn/R/sn.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -462,15 +462,15 @@\n \"imports\" = \" \".__T__coef:stats\" = \".__T__coef:stats\", \".__T__summary:base\" = \".__T__summary:base\", \"\n \"imports\" = \" mle = \"mle\", \".__T__update:stats\" = \".__T__update:stats\", \"\n \"imports\" = \" logLik = \"logLik\", vcov = \"vcov\", AIC = \"AIC\", coef = \"coef\", \"\n \"imports\" = \" confint = \"confint\", \".__T__confint:stats\" = \".__T__confint:stats\", \"\n \"imports\" = \" \".__T__profile:stats\" = \".__T__profile:stats\", \".__T__AIC:stats\" = \".__T__AIC:stats\", \"\n \"imports\" = \" .__C__summary.mle = \".__C__summary.mle\"))\"\n \"lazydata\" = \"\"\n- \"path\" = \"\"/build/1st/r-cran-sn-2.1.1/debian/r-cran-sn/usr/lib/R/site-library/sn\"\"\n+ \"path\" = \"\"/build/2/r-cran-sn-2.1.1/2nd/debian/r-cran-sn/usr/lib/R/site-library/sn\"\"\n \"spec\" = \"c(name = \"sn\", version = \"2.1.1\")\"\n }\n \n .__S3MethodsTable__. (environment) = \n {\n }\n \n"}]}, {"source1": "./usr/lib/R/site-library/sn/R/sn.rdx", "source2": "./usr/lib/R/site-library/sn/R/sn.rdx", "unified_diff": null, "details": [{"source1": "sn.rdx-content", "source2": "sn.rdx-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -26,813 +26,813 @@\n $variables$.__C__summary.mselm\n [1] 11061 847\n \n $variables$.__C__summary.selm\n [1] 11908 810\n \n $variables$.__NAMESPACE__.\n-[1] 16786 60\n+[1] 16790 60\n \n $variables$.__S3MethodsTable__.\n-[1] 16985 60\n+[1] 16989 60\n \n $variables$`.__T__coef:stats`\n-[1] 20720 60\n+[1] 20724 60\n \n $variables$`.__T__confint:stats`\n-[1] 34459 60\n+[1] 34463 60\n \n $variables$`.__T__fitted:stats`\n-[1] 38802 61\n+[1] 38806 61\n \n $variables$`.__T__logLik:stats`\n-[1] 42979 61\n+[1] 42983 61\n \n $variables$`.__T__mean:base`\n-[1] 45791 61\n+[1] 45795 61\n \n $variables$`.__T__plot:base`\n-[1] 87212 61\n+[1] 87216 61\n \n $variables$`.__T__predict:stats`\n-[1] 96843 61\n+[1] 96847 61\n \n $variables$`.__T__residuals:stats`\n-[1] 101214 61\n+[1] 101218 61\n \n $variables$`.__T__sd:sn`\n-[1] 103604 61\n+[1] 103608 61\n \n $variables$`.__T__show:methods`\n-[1] 287490 61\n+[1] 287494 61\n \n $variables$`.__T__summary:base`\n-[1] 303685 61\n+[1] 303689 61\n \n $variables$`.__T__vcov:stats`\n-[1] 307249 61\n+[1] 307253 61\n \n $variables$.onAttach\n-[1] 307310 724\n+[1] 307314 724\n \n $variables$.packageName\n-[1] 308034 55\n+[1] 308038 55\n \n $variables$MPpenalty\n-[1] 308089 2300\n+[1] 308093 2300\n \n $variables$Qpenalty\n-[1] 310389 3618\n+[1] 310393 3618\n \n $variables$T.Owen\n-[1] 314007 4417\n+[1] 314011 4417\n \n $variables$affineTransSECdistr\n-[1] 318424 4068\n+[1] 318428 4068\n \n $variables$affineTransSUNdistr\n-[1] 322492 2917\n+[1] 322496 2917\n \n $variables$all.numeric\n-[1] 325409 681\n+[1] 325413 681\n \n $variables$array2mat\n-[1] 326090 1234\n+[1] 326094 1234\n \n $variables$b\n-[1] 327324 1093\n+[1] 327328 1093\n \n $variables$blockDiag\n-[1] 328417 994\n+[1] 328421 994\n \n $variables$coef.fitdistr.grouped\n-[1] 329411 195\n+[1] 329415 195\n \n $variables$coef.mselm\n-[1] 329606 951\n+[1] 329610 951\n \n $variables$coef.selm\n-[1] 330557 589\n+[1] 330561 589\n \n $variables$conditionalSECdistr\n-[1] 331146 4986\n+[1] 331150 4986\n \n $variables$conditionalSUNdistr\n-[1] 336132 4747\n+[1] 336136 4747\n \n $variables$confint.selm\n-[1] 340879 8618\n+[1] 340883 8618\n \n $variables$constrained.logLik\n-[1] 349497 1078\n+[1] 349501 1078\n \n $variables$convertCSN2SUNpar\n-[1] 350575 1921\n+[1] 350579 1921\n \n $variables$convertSN2SUNdistr\n-[1] 352496 2207\n+[1] 352500 2207\n \n $variables$convolutionSUNdistr\n-[1] 354703 3033\n+[1] 354707 3033\n \n $variables$cp2dp\n-[1] 357736 801\n+[1] 357740 801\n \n $variables$cp2dpMv\n-[1] 358537 865\n+[1] 358541 865\n \n $variables$cp2dpUv\n-[1] 359402 3283\n+[1] 359406 3283\n \n $variables$dSymmModulated\n-[1] 362685 3613\n+[1] 362689 3613\n \n $variables$delta.etc\n-[1] 366298 1962\n+[1] 366302 1962\n \n $variables$discreteSpiral\n-[1] 368260 1747\n+[1] 368264 1747\n \n $variables$dmSymmModulated\n-[1] 370007 4066\n+[1] 370011 4066\n \n $variables$dmsc\n-[1] 374073 579\n+[1] 374077 579\n \n $variables$dmsn\n-[1] 374652 3087\n+[1] 374656 3087\n \n $variables$dmst\n-[1] 377739 3731\n+[1] 377743 3731\n \n $variables$dp2cp\n-[1] 381470 1763\n+[1] 381474 1763\n \n $variables$dp2cpMv\n-[1] 383233 1748\n+[1] 383237 1748\n \n $variables$dp2cpUv\n-[1] 384981 3687\n+[1] 384985 3687\n \n $variables$dp2op\n-[1] 388668 2329\n+[1] 388672 2329\n \n $variables$dplist2optpar\n-[1] 390997 1817\n+[1] 391001 1817\n \n $variables$dsc\n-[1] 392814 1044\n+[1] 392818 1044\n \n $variables$dsn\n-[1] 393858 2524\n+[1] 393862 2524\n \n $variables$dst\n-[1] 396382 2181\n+[1] 396386 2181\n \n $variables$dsun\n-[1] 398563 3641\n+[1] 398567 3641\n \n $variables$duplicationMatrix\n-[1] 402204 1252\n+[1] 402208 1252\n \n $variables$duplication_matrix\n-[1] 403456 1252\n+[1] 403460 1252\n \n $variables$extractSECdistr\n-[1] 404708 2359\n+[1] 404712 2359\n \n $variables$fitdistr.grouped\n-[1] 407067 7868\n+[1] 407071 7868\n \n $variables$fitted\n-[1] 414935 472\n+[1] 414939 472\n \n $variables$fitted.fitdistr.grouped\n-[1] 415407 340\n+[1] 415411 340\n \n $variables$fitted.mselm\n-[1] 415747 1542\n+[1] 415751 1542\n \n $variables$fitted.selm\n-[1] 417289 1345\n+[1] 417293 1345\n \n $variables$force.symmetry\n-[1] 418634 950\n+[1] 418638 950\n \n $variables$fournum\n-[1] 419584 1701\n+[1] 419588 1701\n \n $variables$galton2alpha\n-[1] 421285 1260\n+[1] 421289 1260\n \n $variables$galton_moors2alpha_nu\n-[1] 422545 11839\n+[1] 422549 11839\n \n $variables$joinSUNdistr\n-[1] 434384 2028\n+[1] 434388 2028\n \n $variables$logL.grouped\n-[1] 436412 2200\n+[1] 436416 2200\n \n $variables$logLik.fitdistr.grouped\n-[1] 438612 486\n+[1] 438616 486\n \n $variables$makeSECdistr\n-[1] 439098 4853\n+[1] 439102 4853\n \n $variables$makeSUNdistr\n-[1] 443951 5655\n+[1] 443955 5655\n \n $variables$marginalSECdistr\n-[1] 449606 3567\n+[1] 449610 3567\n \n $variables$marginalSUNdistr\n-[1] 453173 2120\n+[1] 453177 2120\n \n $variables$mean\n-[1] 455293 448\n+[1] 455297 448\n \n $variables$mean.SECdistrMv\n-[1] 455741 286\n+[1] 455745 286\n \n $variables$mean.SECdistrUv\n-[1] 456027 259\n+[1] 456031 259\n \n $variables$mean.SUNdistr\n-[1] 456286 289\n+[1] 456290 289\n \n $variables$mmWeibull\n-[1] 456575 1080\n+[1] 456579 1080\n \n $variables$modeSECdistr\n-[1] 457655 1290\n+[1] 457659 1290\n \n $variables$modeSECdistrMv\n-[1] 458945 2213\n+[1] 458949 2213\n \n $variables$modeSECdistrUv\n-[1] 461158 1336\n+[1] 461162 1336\n \n $variables$mqCauchy\n-[1] 462494 975\n+[1] 462498 975\n \n $variables$msn.cp2dp\n-[1] 463469 2469\n+[1] 463473 2469\n \n $variables$msn.dev\n-[1] 465938 1743\n+[1] 465942 1743\n \n $variables$msn.dev.grad\n-[1] 467681 1929\n+[1] 467685 1929\n \n $variables$msn.dp2cp\n-[1] 469610 3570\n+[1] 469614 3570\n \n $variables$msn.mle\n-[1] 473180 5503\n+[1] 473184 5503\n \n $variables$msn.moment.fit\n-[1] 478683 2367\n+[1] 478687 2367\n \n $variables$msn.mple\n-[1] 481050 4248\n+[1] 481054 4248\n \n $variables$msn.pdev\n-[1] 485298 1360\n+[1] 485302 1360\n \n $variables$mst.cp2dp\n-[1] 486658 5729\n+[1] 486662 5729\n \n $variables$mst.dp2cp\n-[1] 492387 3820\n+[1] 492391 3820\n \n $variables$mst.logL\n-[1] 496207 1873\n+[1] 496211 1873\n \n $variables$mst.mardia\n-[1] 498080 2147\n+[1] 498084 2147\n \n $variables$mst.mple\n-[1] 500227 7556\n+[1] 500231 7556\n \n $variables$mst.pdev\n-[1] 507783 1954\n+[1] 507787 1954\n \n $variables$mst.pdev.grad\n-[1] 509737 7178\n+[1] 509741 7178\n \n $variables$mst.prelimFit\n-[1] 516915 5375\n+[1] 516919 5375\n \n $variables$mst.theta.jacobian\n-[1] 522290 12759\n+[1] 522294 12759\n \n $variables$mst.vdp2vcp\n-[1] 535049 1277\n+[1] 535053 1277\n \n $variables$op2dp\n-[1] 536326 2504\n+[1] 536330 2504\n \n $variables$optpar2dplist\n-[1] 538830 2561\n+[1] 538834 2561\n \n $variables$param.names\n-[1] 541391 2325\n+[1] 541395 2325\n \n $variables$plot.SECdistrBv\n-[1] 543716 7446\n+[1] 543720 7446\n \n $variables$plot.SECdistrMv\n-[1] 551162 8228\n+[1] 551166 8228\n \n $variables$plot.SECdistrUv\n-[1] 559390 5161\n+[1] 559394 5161\n \n $variables$plot.SUNdistr\n-[1] 564551 6532\n+[1] 564555 6532\n \n $variables$plot.SUNdistrBv\n-[1] 571083 2816\n+[1] 571087 2816\n \n $variables$plot.SUNdistrUv\n-[1] 573899 3022\n+[1] 573903 3022\n \n $variables$plot.fitdistr.grouped\n-[1] 576921 3581\n+[1] 576925 3581\n \n $variables$plot.mselm\n-[1] 580502 8773\n+[1] 580506 8773\n \n $variables$plot.selm\n-[1] 589275 9466\n+[1] 589279 9466\n \n $variables$plot2D.SymmModulated\n-[1] 598741 2309\n+[1] 598745 2309\n \n $variables$pmsc\n-[1] 601050 566\n+[1] 601054 566\n \n $variables$pmsn\n-[1] 601616 2408\n+[1] 601620 2408\n \n $variables$pmst\n-[1] 604024 3572\n+[1] 604028 3572\n \n $variables$pprodn2\n-[1] 607596 2019\n+[1] 607600 2019\n \n $variables$pprodt2\n-[1] 609615 2500\n+[1] 609619 2500\n \n $variables$predict\n-[1] 612115 470\n+[1] 612119 470\n \n $variables$predict.selm\n-[1] 612585 7864\n+[1] 612589 7864\n \n $variables$print.fitdistr.grouped\n-[1] 620449 558\n+[1] 620453 558\n \n $variables$print.summary.mselm\n-[1] 621007 4675\n+[1] 621011 4675\n \n $variables$print.summary.selm\n-[1] 625682 4226\n+[1] 625686 4226\n \n $variables$profile.selm\n-[1] 629908 17367\n+[1] 629912 17367\n \n $variables$psc\n-[1] 647275 1065\n+[1] 647279 1065\n \n $variables$psn\n-[1] 648340 4264\n+[1] 648344 4264\n \n $variables$pst\n-[1] 652604 6553\n+[1] 652608 6553\n \n $variables$pst_int\n-[1] 659157 1925\n+[1] 659161 1925\n \n $variables$psun\n-[1] 661082 3726\n+[1] 661086 3726\n \n $variables$qprodt2\n-[1] 664808 1896\n+[1] 664812 1896\n \n $variables$qsc\n-[1] 666704 1777\n+[1] 666708 1777\n \n $variables$qsn\n-[1] 668481 6915\n+[1] 668485 6915\n \n $variables$qst\n-[1] 675396 5464\n+[1] 675400 5464\n \n $variables$qst_bounds\n-[1] 680860 2018\n+[1] 680864 2018\n \n $variables$rSymmModulated\n-[1] 682878 2732\n+[1] 682882 2732\n \n $variables$residuals\n-[1] 685610 473\n+[1] 685614 473\n \n $variables$residuals.mselm\n-[1] 686083 1531\n+[1] 686087 1531\n \n $variables$residuals.selm\n-[1] 687614 1400\n+[1] 687618 1400\n \n $variables$rmSymmModulated\n-[1] 689014 3479\n+[1] 689018 3479\n \n $variables$rmsc\n-[1] 692493 822\n+[1] 692497 822\n \n $variables$rmsn\n-[1] 693315 2999\n+[1] 693319 2999\n \n $variables$rmst\n-[1] 696314 1973\n+[1] 696318 1973\n \n $variables$rsc\n-[1] 698287 1061\n+[1] 698291 1061\n \n $variables$rsn\n-[1] 699348 2033\n+[1] 699352 2033\n \n $variables$rst\n-[1] 701381 1266\n+[1] 701385 1266\n \n $variables$rsun\n-[1] 702647 2392\n+[1] 702651 2392\n \n $variables$sd\n-[1] 705039 444\n+[1] 705043 444\n \n $variables$sd.SECdistrUv\n-[1] 705483 284\n+[1] 705487 284\n \n $variables$sd.default\n-[1] 705767 296\n+[1] 705771 296\n \n $variables$selm\n-[1] 706063 6029\n+[1] 706067 6029\n \n $variables$selm.fit\n-[1] 712092 18232\n+[1] 712096 18232\n \n $variables$seqLog\n-[1] 730324 640\n+[1] 730328 640\n \n $variables$sn.cumulants\n-[1] 730964 4488\n+[1] 730968 4488\n \n $variables$sn.infoMv\n-[1] 735452 16593\n+[1] 735456 16593\n \n $variables$sn.infoUv\n-[1] 752045 12716\n+[1] 752049 12716\n \n $variables$sn.mple\n-[1] 764761 5620\n+[1] 764765 5620\n \n $variables$sn.pdev\n-[1] 770381 1853\n+[1] 770385 1853\n \n $variables$sn.pdev.gh\n-[1] 772234 8487\n+[1] 772238 8487\n \n $variables$sn.pdev.hessian\n-[1] 780721 423\n+[1] 780725 423\n \n $variables$spread.grouped\n-[1] 781144 1651\n+[1] 781148 1651\n \n $variables$st.cp2dp\n-[1] 782795 7348\n+[1] 782799 7348\n \n $variables$st.cumulants\n-[1] 790143 3457\n+[1] 790147 3457\n \n $variables$st.dp2cp\n-[1] 793600 10260\n+[1] 793604 10260\n \n $variables$st.gamma1\n-[1] 803860 1411\n+[1] 803864 1411\n \n $variables$st.gamma2\n-[1] 805271 1399\n+[1] 805275 1399\n \n $variables$st.infoMv\n-[1] 806670 8057\n+[1] 806674 8057\n \n $variables$st.infoUv\n-[1] 814727 4797\n+[1] 814731 4797\n \n $variables$st.mple\n-[1] 819524 7274\n+[1] 819528 7274\n \n $variables$st.pdev\n-[1] 826798 1685\n+[1] 826802 1685\n \n $variables$st.pdev.gh\n-[1] 828483 12778\n+[1] 828487 12778\n \n $variables$st.pdev.hessian\n-[1] 841261 395\n+[1] 841265 395\n \n $variables$st.prelimFit\n-[1] 841656 3885\n+[1] 841660 3885\n \n $variables$st_tails\n-[1] 845541 1765\n+[1] 845545 1765\n \n $variables$summary.SECdistrMv\n-[1] 847306 1867\n+[1] 847310 1867\n \n $variables$summary.SECdistrUv\n-[1] 849173 3844\n+[1] 849177 3844\n \n $variables$summary.SUNdistr\n-[1] 853017 801\n+[1] 853021 801\n \n $variables$summary.fitdistr.grouped\n-[1] 853818 1567\n+[1] 853822 1567\n \n $variables$summary.mselm\n-[1] 855385 5482\n+[1] 855389 5482\n \n $variables$summary.selm\n-[1] 860867 3506\n+[1] 860871 3506\n \n $variables$sunMardia\n-[1] 864373 1709\n+[1] 864377 1709\n \n $variables$sunMean\n-[1] 866082 3479\n+[1] 866086 3479\n \n $variables$sunValues\n-[1] 869561 6337\n+[1] 869565 6337\n \n $variables$sunVcov\n-[1] 875898 3158\n+[1] 875902 3158\n \n $variables$tr\n-[1] 879056 681\n+[1] 879060 681\n \n $variables$vcov.SECdistrMv\n-[1] 879737 284\n+[1] 879741 284\n \n $variables$vcov.SUNdistr\n-[1] 880021 294\n+[1] 880025 294\n \n $variables$vcov.fitdistr.grouped\n-[1] 880315 194\n+[1] 880319 194\n \n $variables$vech\n-[1] 880509 387\n+[1] 880513 387\n \n $variables$vech2mat\n-[1] 880896 1099\n+[1] 880900 1099\n \n $variables$weights.mselm\n-[1] 881995 272\n+[1] 881999 272\n \n $variables$weights.selm\n-[1] 882267 272\n+[1] 882271 272\n \n $variables$zeta\n-[1] 882539 2610\n+[1] 882543 2610\n \n \n $references\n $references$`env::1`\n-[1] 13020 3766\n+[1] 13020 3770\n \n $references$`env::10`\n-[1] 30888 473\n+[1] 30892 473\n \n $references$`env::11`\n-[1] 20780 5054\n+[1] 20784 5054\n \n $references$`env::12`\n-[1] 25834 5054\n+[1] 25838 5054\n \n $references$`env::13`\n-[1] 37522 1280\n+[1] 37526 1280\n \n $references$`env::14`\n-[1] 37079 443\n+[1] 37083 443\n \n $references$`env::15`\n-[1] 34519 1280\n+[1] 34523 1280\n \n $references$`env::16`\n-[1] 35799 1280\n+[1] 35803 1280\n \n $references$`env::17`\n-[1] 42281 698\n+[1] 42285 698\n \n $references$`env::18`\n-[1] 41837 444\n+[1] 41841 444\n \n $references$`env::19`\n-[1] 38863 1487\n+[1] 38867 1487\n \n $references$`env::2`\n [1] 12718 139\n \n $references$`env::20`\n-[1] 40350 1487\n+[1] 40354 1487\n \n $references$`env::21`\n-[1] 45015 776\n+[1] 45019 776\n \n $references$`env::22`\n-[1] 44592 423\n+[1] 44596 423\n \n $references$`env::23`\n-[1] 43040 776\n+[1] 43044 776\n \n $references$`env::24`\n-[1] 43816 776\n+[1] 43820 776\n \n $references$`env::25`\n-[1] 78059 9153\n+[1] 78063 9153\n \n $references$`env::26`\n-[1] 77636 423\n+[1] 77640 423\n \n $references$`env::27`\n-[1] 45852 15892\n+[1] 45856 15892\n \n $references$`env::28`\n-[1] 61744 15892\n+[1] 61748 15892\n \n $references$`env::29`\n-[1] 93800 3043\n+[1] 93804 3043\n \n $references$`env::3`\n [1] 12857 163\n \n $references$`env::30`\n-[1] 93359 441\n+[1] 93363 441\n \n $references$`env::31`\n-[1] 87273 3043\n+[1] 87277 3043\n \n $references$`env::32`\n-[1] 90316 3043\n+[1] 90320 3043\n \n $references$`env::33`\n-[1] 99925 1289\n+[1] 99929 1289\n \n $references$`env::34`\n-[1] 99482 443\n+[1] 99486 443\n \n $references$`env::35`\n-[1] 96904 1289\n+[1] 96908 1289\n \n $references$`env::36`\n-[1] 98193 1289\n+[1] 98197 1289\n \n $references$`env::37`\n-[1] 102972 632\n+[1] 102976 632\n \n $references$`env::38`\n-[1] 102539 433\n+[1] 102543 433\n \n $references$`env::39`\n-[1] 101275 632\n+[1] 101279 632\n \n $references$`env::4`\n-[1] 16846 139\n+[1] 16850 139\n \n $references$`env::40`\n-[1] 101907 632\n+[1] 101911 632\n \n $references$`env::41`\n-[1] 267996 19494\n+[1] 268000 19494\n \n $references$`env::42`\n-[1] 267524 472\n+[1] 267528 472\n \n $references$`env::43`\n-[1] 208146 29689\n+[1] 208150 29689\n \n $references$`env::44`\n-[1] 103665 182\n+[1] 103669 182\n \n $references$`env::45`\n-[1] 103847 1533\n+[1] 103851 1533\n \n $references$`env::46`\n-[1] 205822 2324\n+[1] 205826 2324\n \n $references$`env::47`\n-[1] 191332 151\n+[1] 191336 151\n \n $references$`env::48`\n-[1] 186130 5202\n+[1] 186134 5202\n \n $references$`env::49`\n-[1] 185390 740\n+[1] 185394 740\n \n $references$`env::5`\n-[1] 19781 939\n+[1] 19785 939\n \n $references$`env::50`\n-[1] 114153 151\n+[1] 114157 151\n \n $references$`env::51`\n-[1] 105380 8773\n+[1] 105384 8773\n \n $references$`env::52`\n-[1] 180568 4822\n+[1] 180572 4822\n \n $references$`env::53`\n-[1] 129207 37473\n+[1] 129211 37473\n \n $references$`env::54`\n-[1] 121338 347\n+[1] 121342 347\n \n $references$`env::55`\n-[1] 115334 6004\n+[1] 115338 6004\n \n $references$`env::56`\n-[1] 114304 1030\n+[1] 114308 1030\n \n $references$`env::57`\n-[1] 121685 2266\n+[1] 121689 2266\n \n $references$`env::58`\n-[1] 123951 4935\n+[1] 123955 4935\n \n $references$`env::59`\n-[1] 128886 321\n+[1] 128890 321\n \n $references$`env::6`\n-[1] 19339 442\n+[1] 19343 442\n \n $references$`env::60`\n-[1] 166680 13888\n+[1] 166684 13888\n \n $references$`env::61`\n-[1] 197231 2495\n+[1] 197235 2495\n \n $references$`env::62`\n-[1] 197066 165\n+[1] 197070 165\n \n $references$`env::63`\n-[1] 191483 5583\n+[1] 191487 5583\n \n $references$`env::64`\n-[1] 205671 151\n+[1] 205675 151\n \n $references$`env::65`\n-[1] 200467 5204\n+[1] 200471 5204\n \n $references$`env::66`\n-[1] 199726 741\n+[1] 199730 741\n \n $references$`env::67`\n-[1] 237835 29689\n+[1] 237839 29689\n \n $references$`env::68`\n-[1] 298776 4909\n+[1] 298780 4909\n \n $references$`env::69`\n-[1] 298345 431\n+[1] 298349 431\n \n $references$`env::7`\n-[1] 17045 1147\n+[1] 17049 1147\n \n $references$`env::70`\n-[1] 287551 5397\n+[1] 287555 5397\n \n $references$`env::71`\n-[1] 292948 5397\n+[1] 292952 5397\n \n $references$`env::72`\n-[1] 306309 940\n+[1] 306313 940\n \n $references$`env::73`\n-[1] 305868 441\n+[1] 305872 441\n \n $references$`env::74`\n-[1] 303746 1061\n+[1] 303750 1061\n \n $references$`env::75`\n-[1] 304807 1061\n+[1] 304811 1061\n \n $references$`env::8`\n-[1] 18192 1147\n+[1] 18196 1147\n \n $references$`env::9`\n-[1] 31361 3098\n+[1] 31365 3098\n \n \n $compressed\n [1] TRUE\n \n"}]}]}, {"source1": "./usr/lib/R/site-library/sn/help/paths.rds", "source2": "./usr/lib/R/site-library/sn/help/paths.rds", "unified_diff": null, "details": [{"source1": "paths.rds-content", "source2": "paths.rds-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -1,59 +1,59 @@\n- [1] \"/build/1st/r-cran-sn-2.1.1/man/Qpenalty.Rd\" \n- [2] \"/build/1st/r-cran-sn-2.1.1/man/SECdistrMv-class.Rd\" \n- [3] \"/build/1st/r-cran-sn-2.1.1/man/SECdistrUv-class.Rd\" \n- [4] \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-base.Rd\" \n- [5] \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-class.Rd\" \n- [6] \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-op.Rd\" \n- [7] \"/build/1st/r-cran-sn-2.1.1/man/T.Owen.Rd\" \n- [8] \"/build/1st/r-cran-sn-2.1.1/man/affineTransSECdistr.Rd\" \n- [9] \"/build/1st/r-cran-sn-2.1.1/man/ais.Rd\" \n-[10] \"/build/1st/r-cran-sn-2.1.1/man/barolo.Rd\" \n-[11] \"/build/1st/r-cran-sn-2.1.1/man/coef.selm.Rd\" \n-[12] \"/build/1st/r-cran-sn-2.1.1/man/conditionalSECdistr.Rd\" \n-[13] \"/build/1st/r-cran-sn-2.1.1/man/confint.selm.Rd\" \n-[14] \"/build/1st/r-cran-sn-2.1.1/man/convertCSN2SUNpar.Rd\" \n-[15] \"/build/1st/r-cran-sn-2.1.1/man/convertSN2SUNdistr.Rd\" \n-[16] \"/build/1st/r-cran-sn-2.1.1/man/dmsn.Rd\" \n-[17] \"/build/1st/r-cran-sn-2.1.1/man/dmst.Rd\" \n-[18] \"/build/1st/r-cran-sn-2.1.1/man/dp2cp.Rd\" \n-[19] \"/build/1st/r-cran-sn-2.1.1/man/dsc.Rd\" \n-[20] \"/build/1st/r-cran-sn-2.1.1/man/dsn.Rd\" \n-[21] \"/build/1st/r-cran-sn-2.1.1/man/dst.Rd\" \n-[22] \"/build/1st/r-cran-sn-2.1.1/man/extractSECdistr.Rd\" \n-[23] \"/build/1st/r-cran-sn-2.1.1/man/fitdistr.grouped-class.Rd\"\n-[24] \"/build/1st/r-cran-sn-2.1.1/man/fitdistr.grouped.Rd\" \n-[25] \"/build/1st/r-cran-sn-2.1.1/man/fournum.Rd\" \n-[26] \"/build/1st/r-cran-sn-2.1.1/man/frontier.Rd\" \n-[27] \"/build/1st/r-cran-sn-2.1.1/man/galton_moors2alpha_nu.Rd\" \n-[28] \"/build/1st/r-cran-sn-2.1.1/man/makeSECdistr.Rd\" \n-[29] \"/build/1st/r-cran-sn-2.1.1/man/makeSUNdistr.Rd\" \n-[30] \"/build/1st/r-cran-sn-2.1.1/man/matrix-op.Rd\" \n-[31] \"/build/1st/r-cran-sn-2.1.1/man/modeSECdistr.Rd\" \n-[32] \"/build/1st/r-cran-sn-2.1.1/man/overview-sn.Rd\" \n-[33] \"/build/1st/r-cran-sn-2.1.1/man/plot.SECdistr.Rd\" \n-[34] \"/build/1st/r-cran-sn-2.1.1/man/plot.SUNdistr-method.Rd\" \n-[35] \"/build/1st/r-cran-sn-2.1.1/man/plot.fitdistr.grouped.Rd\" \n-[36] \"/build/1st/r-cran-sn-2.1.1/man/plot.selm.Rd\" \n-[37] \"/build/1st/r-cran-sn-2.1.1/man/pprodt2.Rd\" \n-[38] \"/build/1st/r-cran-sn-2.1.1/man/predict.selm.Rd\" \n-[39] \"/build/1st/r-cran-sn-2.1.1/man/profile.selm.Rd\" \n-[40] \"/build/1st/r-cran-sn-2.1.1/man/residuals.selm.Rd\" \n-[41] \"/build/1st/r-cran-sn-2.1.1/man/sd.Rd\" \n-[42] \"/build/1st/r-cran-sn-2.1.1/man/selm-class.Rd\" \n-[43] \"/build/1st/r-cran-sn-2.1.1/man/selm.Rd\" \n-[44] \"/build/1st/r-cran-sn-2.1.1/man/selm.fit.Rd\" \n-[45] \"/build/1st/r-cran-sn-2.1.1/man/sn-package.Rd\" \n-[46] \"/build/1st/r-cran-sn-2.1.1/man/sn-st.cumulants.Rd\" \n-[47] \"/build/1st/r-cran-sn-2.1.1/man/sn-st.info.Rd\" \n-[48] \"/build/1st/r-cran-sn-2.1.1/man/spread.grouped.Rd\" \n-[49] \"/build/1st/r-cran-sn-2.1.1/man/st.prelimFit.Rd\" \n-[50] \"/build/1st/r-cran-sn-2.1.1/man/summary.SECdistr-class.Rd\"\n-[51] \"/build/1st/r-cran-sn-2.1.1/man/summary.SECdistr.Rd\" \n-[52] \"/build/1st/r-cran-sn-2.1.1/man/summary.SUNdistr-class.Rd\"\n-[53] \"/build/1st/r-cran-sn-2.1.1/man/summary.SUNdistr.Rd\" \n-[54] \"/build/1st/r-cran-sn-2.1.1/man/summary.selm.Rd\" \n-[55] \"/build/1st/r-cran-sn-2.1.1/man/symm-modulated-distr.Rd\" \n-[56] \"/build/1st/r-cran-sn-2.1.1/man/wines.Rd\" \n-[57] \"/build/1st/r-cran-sn-2.1.1/man/zeta.Rd\" \n+ [1] \"/build/2/r-cran-sn-2.1.1/2nd/man/Qpenalty.Rd\" \n+ [2] \"/build/2/r-cran-sn-2.1.1/2nd/man/SECdistrMv-class.Rd\" \n+ [3] \"/build/2/r-cran-sn-2.1.1/2nd/man/SECdistrUv-class.Rd\" \n+ [4] \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-base.Rd\" \n+ [5] \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-class.Rd\" \n+ [6] \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-op.Rd\" \n+ [7] \"/build/2/r-cran-sn-2.1.1/2nd/man/T.Owen.Rd\" \n+ [8] \"/build/2/r-cran-sn-2.1.1/2nd/man/affineTransSECdistr.Rd\" \n+ [9] \"/build/2/r-cran-sn-2.1.1/2nd/man/ais.Rd\" \n+[10] \"/build/2/r-cran-sn-2.1.1/2nd/man/barolo.Rd\" \n+[11] \"/build/2/r-cran-sn-2.1.1/2nd/man/coef.selm.Rd\" \n+[12] \"/build/2/r-cran-sn-2.1.1/2nd/man/conditionalSECdistr.Rd\" \n+[13] \"/build/2/r-cran-sn-2.1.1/2nd/man/confint.selm.Rd\" \n+[14] \"/build/2/r-cran-sn-2.1.1/2nd/man/convertCSN2SUNpar.Rd\" \n+[15] \"/build/2/r-cran-sn-2.1.1/2nd/man/convertSN2SUNdistr.Rd\" \n+[16] \"/build/2/r-cran-sn-2.1.1/2nd/man/dmsn.Rd\" \n+[17] \"/build/2/r-cran-sn-2.1.1/2nd/man/dmst.Rd\" \n+[18] \"/build/2/r-cran-sn-2.1.1/2nd/man/dp2cp.Rd\" \n+[19] \"/build/2/r-cran-sn-2.1.1/2nd/man/dsc.Rd\" \n+[20] \"/build/2/r-cran-sn-2.1.1/2nd/man/dsn.Rd\" \n+[21] \"/build/2/r-cran-sn-2.1.1/2nd/man/dst.Rd\" \n+[22] \"/build/2/r-cran-sn-2.1.1/2nd/man/extractSECdistr.Rd\" \n+[23] \"/build/2/r-cran-sn-2.1.1/2nd/man/fitdistr.grouped-class.Rd\"\n+[24] \"/build/2/r-cran-sn-2.1.1/2nd/man/fitdistr.grouped.Rd\" \n+[25] \"/build/2/r-cran-sn-2.1.1/2nd/man/fournum.Rd\" \n+[26] \"/build/2/r-cran-sn-2.1.1/2nd/man/frontier.Rd\" \n+[27] \"/build/2/r-cran-sn-2.1.1/2nd/man/galton_moors2alpha_nu.Rd\" \n+[28] \"/build/2/r-cran-sn-2.1.1/2nd/man/makeSECdistr.Rd\" \n+[29] \"/build/2/r-cran-sn-2.1.1/2nd/man/makeSUNdistr.Rd\" \n+[30] \"/build/2/r-cran-sn-2.1.1/2nd/man/matrix-op.Rd\" \n+[31] \"/build/2/r-cran-sn-2.1.1/2nd/man/modeSECdistr.Rd\" \n+[32] \"/build/2/r-cran-sn-2.1.1/2nd/man/overview-sn.Rd\" \n+[33] \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.SECdistr.Rd\" \n+[34] \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.SUNdistr-method.Rd\" \n+[35] \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.fitdistr.grouped.Rd\" \n+[36] \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.selm.Rd\" \n+[37] \"/build/2/r-cran-sn-2.1.1/2nd/man/pprodt2.Rd\" \n+[38] \"/build/2/r-cran-sn-2.1.1/2nd/man/predict.selm.Rd\" \n+[39] \"/build/2/r-cran-sn-2.1.1/2nd/man/profile.selm.Rd\" \n+[40] \"/build/2/r-cran-sn-2.1.1/2nd/man/residuals.selm.Rd\" \n+[41] \"/build/2/r-cran-sn-2.1.1/2nd/man/sd.Rd\" \n+[42] \"/build/2/r-cran-sn-2.1.1/2nd/man/selm-class.Rd\" \n+[43] \"/build/2/r-cran-sn-2.1.1/2nd/man/selm.Rd\" \n+[44] \"/build/2/r-cran-sn-2.1.1/2nd/man/selm.fit.Rd\" \n+[45] \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-package.Rd\" \n+[46] \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-st.cumulants.Rd\" \n+[47] \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-st.info.Rd\" \n+[48] \"/build/2/r-cran-sn-2.1.1/2nd/man/spread.grouped.Rd\" \n+[49] \"/build/2/r-cran-sn-2.1.1/2nd/man/st.prelimFit.Rd\" \n+[50] \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SECdistr-class.Rd\"\n+[51] \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SECdistr.Rd\" \n+[52] \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SUNdistr-class.Rd\"\n+[53] \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SUNdistr.Rd\" \n+[54] \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.selm.Rd\" \n+[55] \"/build/2/r-cran-sn-2.1.1/2nd/man/symm-modulated-distr.Rd\" \n+[56] \"/build/2/r-cran-sn-2.1.1/2nd/man/wines.Rd\" \n+[57] \"/build/2/r-cran-sn-2.1.1/2nd/man/zeta.Rd\" \n attr(,\"first\")\n-[1] 32\n+[1] 34\n"}]}]}, {"source1": "./usr/lib/R/site-library/sn/help/sn.rdb", "source2": "./usr/lib/R/site-library/sn/help/sn.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -109,15 +109,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"39\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 236--247.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"selm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" function\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(frontier)\\n\", Rd_tag = \"RCODE\"), \n structure(\"m2 <- selm(frontier ~ 1) # no penalty\\n\", Rd_tag = \"RCODE\"), \n structure(\"m2a <- selm(frontier ~ 1, method=\\\"MPLE\\\") # penalty=\\\"Qpenalty\\\" is implied here\\n\", Rd_tag = \"RCODE\"), \n- structure(\"m2b <- selm(frontier ~ 1, method=\\\"MPLE\\\", penalty=\\\"MPpenalty\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/Qpenalty.Rd\", class = \"Rd\", meta = list(\n+ structure(\"m2b <- selm(frontier ~ 1, method=\\\"MPLE\\\", penalty=\\\"MPpenalty\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/Qpenalty.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n SECdistrMv-class (list) = structure(list(structure(list(structure(\"Class \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"\\\"SECdistrMv\\\"\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"SECdistrMv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SECdistrMv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"show,SECdistrMv-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -234,15 +234,15 @@\n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"extractSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\" dp0 <- list(xi=1:2, Omega=diag(3:4), alpha=c(3, -5))\\n\", Rd_tag = \"RCODE\"), \n structure(\" f10 <- makeSECdistr(dp=dp0, family=\\\"SN\\\", name=\\\"SN-2D\\\", compNames=c(\\\"x\\\", \\\"y\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\" show(f10)\\n\", Rd_tag = \"RCODE\"), structure(\" plot(f10)\\n\", Rd_tag = \"RCODE\"), \n structure(\" summary(f10)\\n\", Rd_tag = \"RCODE\"), structure(\" mean(f10) # the mean value of the probability distribution\\n\", Rd_tag = \"RCODE\"), \n- structure(\" vcov(f10) # the variance-covariance matrix of the probability distribution\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/SECdistrMv-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\" vcov(f10) # the variance-covariance matrix of the probability distribution\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/SECdistrMv-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n SECdistrUv-class (list) = structure(list(structure(list(structure(\"Class \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"\\\"SECdistrUv\\\"\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"SECdistrUv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SECdistrUv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"show,SECdistrUv-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -346,15 +346,15 @@\n structure(list(structure(list(structure(\"extractSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"f2 <- makeSECdistr(dp=c(3, 5, -pi, 6), family=\\\"ST\\\", name=\\\"My first ST\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"show(f2)\\n\", Rd_tag = \"RCODE\"), structure(\"plot(f2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(f2, probs=c(1,5,9)/10)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(f2, range=c(-30,10), probs=NULL, col=2, main=NULL)\\n\", Rd_tag = \"RCODE\"), \n structure(\"summary(f2)\\n\", Rd_tag = \"RCODE\"), structure(\"mean(f2) # the mean value of the probability distribution\\n\", Rd_tag = \"RCODE\"), \n- structure(\"sd(f2) # the standard deviation of the distribution \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/SECdistrUv-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\"sd(f2) # the standard deviation of the distribution \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/SECdistrUv-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n SUNdistr-base (list) = structure(list(structure(list(structure(\"The Unified Skew-Normal (SUN) probability distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"SUNdistr-base\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SUNdistr-base\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dsun\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"psun\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -850,15 +850,15 @@\n structure(\"dp3 <- list(xi=xi, Omega=Omega, Delta=Delta, tau=c(-0.5, 0), Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\"x <- c(0.8, 0.5, -1.1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"f1 <- dsun(x, xi, Omega, Delta, c(-0.5, 0), Gamma) # mode 1\\n\", Rd_tag = \"RCODE\"), \n structure(\"f2 <- dsun(x, dp=dp3) # mode 2, equivalent to mode 1\\n\", Rd_tag = \"RCODE\"), \n structure(\"set.seed(1)\\n\", Rd_tag = \"RCODE\"), structure(\"xm <- rsun(10, dp=dp3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"f3 <- dsun(xm, dp=dp3) \\n\", Rd_tag = \"RCODE\"), \n structure(\"psun(xm, dp=dp3)\\n\", Rd_tag = \"RCODE\"), structure(\"sunMean(dp=dp3)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"sunVcov(dp=dp3)\\n\", Rd_tag = \"RCODE\"), structure(\"sunMardia(dp=dp3)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-base.Rd\", class = \"Rd\", meta = list(\n+ structure(\"sunVcov(dp=dp3)\\n\", Rd_tag = \"RCODE\"), structure(\"sunMardia(dp=dp3)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-base.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n SUNdistr-class (list) = structure(list(structure(list(structure(\"Class \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"\\\"SUNdistr\\\"\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" and its methods\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"SUNdistr-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SUNdistr-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -982,15 +982,15 @@\n structure(\" Delta <- matrix(c(0.72,0.20, 0.51,0.42, 0.88, 0.94), 3, 2, byrow=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\" Gamma <- matrix(c(1, 0.8, 0.8, 1), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\" dp3 <- list(xi=xi, Omega=Omega, Delta=Delta, tau=c(-0.5, 0), Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\" sun3 <- makeSUNdistr(dp=dp3, name=\\\"firstSUN\\\", compNames=c(\\\"x\\\", \\\"w\\\", \\\"z\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\" show(sun3)\\n\", Rd_tag = \"RCODE\"), structure(\" plot(sun3)\\n\", Rd_tag = \"RCODE\"), \n structure(\" mean(sun3) # the mean value of the probability distribution\\n\", Rd_tag = \"RCODE\"), \n structure(\" vcov(sun3) # the variance-covariance matrix of the probability distribution\\n\", Rd_tag = \"RCODE\"), \n- structure(\" summary(sun3) # a more detailed summary\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\" summary(sun3) # a more detailed summary\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n SUNdistr-op (list) = structure(list(structure(list(structure(\"Operations on SUNdistr-class objects\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"SUNdistr-op\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SUNdistr-op\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"affineTransSUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"conditionalSUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1245,15 +1245,15 @@\n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"Omega <- matrix(c(5, 1, 1, 6), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Delta <- matrix(c(0.30, 0.50, 0.50, 0.85), 2, 2, byrow=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Gamma <- matrix(c(1, 0.18, 0.18, 1), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"tau <- c(0.4, -0.8)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp2 <- list(x=c(1, 0), Omega=Omega, Delta=Delta, tau=tau, Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sun2 <- makeSUNdistr(dp=dp2, name=\\\"SUN2\\\", compNames=c(\\\"u\\\", \\\"v\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"sun2conv <- convolutionSUNdistr(sun2, sun2m, name=\\\"SUN2sum\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"sun5 <- joinSUNdistr(sun3, sun2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/SUNdistr-op.Rd\", class = \"Rd\", meta = list(\n+ structure(\"sun5 <- joinSUNdistr(sun3, sun2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/SUNdistr-op.Rd\", class = \"Rd\", meta = list(\n docType = \"package\"), prepared = 3L)\n \n T.Owen (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Owen's function\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"T.Owen\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"T.Owen\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"math\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1314,15 +1314,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"Owen, D. B. (1956).\\n\", Rd_tag = \"TEXT\"), \n structure(\"Tables for computing bivariate normal probabilities.\\n\", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Ann. Math. Statist.\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"27\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 1075-1090.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"psn\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n- structure(list(structure(\" owen <- T.Owen(1:10, 2)\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/T.Owen.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\" owen <- T.Owen(1:10, 2)\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/T.Owen.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n affineTransSECdistr (list) = structure(list(structure(list(structure(\"Affine transformations and marginals of a skew-elliptical distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"affineTransSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"marginalSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"affineTransSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"multivariate\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1430,15 +1430,15 @@\n structure(\"extractSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"SECdistrMv-class\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"dp3 <- list(xi=1:3, Omega=toeplitz(1/(1:3)), alpha=c(3,-1,2), nu=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"st3 <- makeSECdistr(dp3, family=\\\"ST\\\", name=\\\"ST3\\\", compNames=c(\\\"U\\\", \\\"V\\\", \\\"W\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"A <- matrix(c(1,-1,1, 3,0,-2), 3, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"new.st <- affineTransSECdistr(st3, a=c(-3,0), A=A)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"st2 <- marginalSECdistr(st3, comp=c(3,1), name=\\\"2D marginal of ST3\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/affineTransSECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"st2 <- marginalSECdistr(st3, comp=c(3,1), name=\\\"2D marginal of ST3\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/affineTransSECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n ais (list) = structure(list(structure(list(structure(\"Australian Institute of Sport data\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"ais\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"ais\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"datasets\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"UTF-8\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\encoding\"), \n@@ -1532,15 +1532,15 @@\n structure(list(structure(\"The data have been made publicly available in connection with the\\n\", Rd_tag = \"TEXT\"), \n structure(\"book by Cook and Weisberg (1994).\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Cook and Weisberg (1994),\\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"An Introduction to Regression Graphics\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\". \\n\", Rd_tag = \"TEXT\"), \n structure(\" John Wiley & Sons, New York.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(ais, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"pairs(ais[,c(3:4,10:13)], col=as.numeric(ais[,1]), main = \\\"AIS data\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/ais.Rd\", class = \"Rd\", meta = list(\n+ structure(\"pairs(ais[,c(3:4,10:13)], col=as.numeric(ais[,1]), main = \\\"AIS data\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/ais.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n barolo (list) = structure(list(structure(list(structure(\"Price of Barolo wine\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"barolo\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"barolo\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"datasets\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"A data frame with prices of bottles of Barolo wine \\n\", Rd_tag = \"TEXT\"), \n@@ -1594,15 +1594,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(barolo)\\n\", Rd_tag = \"RCODE\"), \n structure(\"attach(barolo) \\n\", Rd_tag = \"RCODE\"), structure(\"f <- cut(age, c(0, 5, 6, 8, 11, 30))\\n\", Rd_tag = \"RCODE\"), \n structure(\"table(volume, f)\\n\", Rd_tag = \"RCODE\"), structure(\"plot(volume, price, col=as.numeric(f), pch=as.character(reseller))\\n\", Rd_tag = \"RCODE\"), \n structure(\"legend(400, 990, col=1:5, lty=1, title=\\\"age class\\\",\\n\", Rd_tag = \"RCODE\"), \n structure(\" legend=c(\\\"4-5\\\", \\\"6\\\", \\\"7-8\\\", \\\"9-11\\\", \\\"12-30\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"A75 <- (reseller==\\\"A\\\" & volume==75)\\n\", Rd_tag = \"RCODE\"), \n structure(\"hist(log(price[A75],10), col=\\\"gray85\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# see Figure 4.7 of the source\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/barolo.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# see Figure 4.7 of the source\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/barolo.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n coef.selm (list) = structure(list(structure(list(structure(\"Coefficients of objects created by \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"coef.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"coef.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"coef.mselm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1690,15 +1690,15 @@\n structure(\"-class\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\" \\n\", Rd_tag = \"RCODE\"), structure(\"data(wines, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"m5 <- selm(acidity ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"coef(m5)\\n\", Rd_tag = \"RCODE\"), structure(\"coef(m5, \\\"dp\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"m12 <- selm(cbind(acidity, alcohol) ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"coef(m12)\\n\", Rd_tag = \"RCODE\"), structure(\"coef(m12, \\\"DP\\\", vector=FALSE)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/coef.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/coef.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n conditionalSECdistr (list) = structure(list(structure(list(structure(\"Skew-normal conditional distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"conditionalSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"conditionalSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"multivariate\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1762,15 +1762,15 @@\n structure(\"SECdistrMv-class\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"affineTransSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"Omega <- diag(3) + outer(1:3,1:3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sn <- makeSECdistr(dp=list(xi=rep(0,3), Omega=Omega, alpha=1:3), family=\\\"SN\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"esn <- conditionalSECdistr(sn, fixed.comp=2, fixed.values=1.5)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"show(esn)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/conditionalSECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"show(esn)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/conditionalSECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n confint.selm (list) = structure(list(structure(list(structure(\"Confidence intervals for parameters of a selm-class object\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"confint.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"confint.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"confint.selm-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"confidence interval\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -1891,15 +1891,15 @@\n structure(\"tol\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" argument\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"m1 <- selm(log(Fe) ~ BMI + LBM, family = \\\"sn\\\", data = ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"intervCP <- confint(m1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"intervDP <- confint(m1, param.type=\\\"DP\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"confint(m1, parm=2:3) \\n\", Rd_tag = \"RCODE\"), \n- structure(\"confint(m1, parm=c(\\\"omega\\\", \\\"alpha\\\"), param.type=\\\"DP\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/confint.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"confint(m1, parm=c(\\\"omega\\\", \\\"alpha\\\"), param.type=\\\"DP\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/confint.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n convertCSN2SUNpar (list) = structure(list(structure(list(structure(\"Conversion of \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"CSN\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" parameters to \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"SUN\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" parameters\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n@@ -2021,15 +2021,15 @@\n structure(\"makeSUNdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"p <- 3\\n\", Rd_tag = \"RCODE\"), \n structure(\"q <- 2\\n\", Rd_tag = \"RCODE\"), structure(\"mu <- 1:p\\n\", Rd_tag = \"RCODE\"), \n structure(\"Sigma <- toeplitz(1/(1:p))\\n\", Rd_tag = \"RCODE\"), \n structure(\"D <- matrix(sqrt(1:(p*q)), q, p)\\n\", Rd_tag = \"RCODE\"), \n structure(\"nu <- 1/(1:q)\\n\", Rd_tag = \"RCODE\"), structure(\"Delta <- diag(q) + outer(rep(1,q), rep(1,q))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"dp <- convertCSN2SUNpar(mu, Sigma, D, nu, Delta)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/convertCSN2SUNpar.Rd\", class = \"Rd\", meta = list(\n+ structure(\"dp <- convertCSN2SUNpar(mu, Sigma, D, nu, Delta)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/convertCSN2SUNpar.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n convertSN2SUNdistr (list) = structure(list(structure(list(structure(\"Convert a SN distribution into a SUN\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"convertSN2SUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"convertSN2SUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"SUN distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n structure(list(structure(\"Unified Skew-Normal distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -2086,15 +2086,15 @@\n structure(\"sun <- convertSN2SUNdistr(esn)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mean(sun) - mean(esn)\\n\", Rd_tag = \"RCODE\"), \n structure(\"vcov(sun) - sd(esn)^2\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"dp0 <- list(xi=1:2, Omega=diag(3:4), alpha=c(3, -5))\\n\", Rd_tag = \"RCODE\"), \n structure(\"f10 <- makeSECdistr(dp=dp0, family=\\\"SN\\\", name=\\\"SN-2d\\\", compNames=c(\\\"u1\\\", \\\"u2\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"sun10 <- convertSN2SUNdistr(f10)\\n\", Rd_tag = \"RCODE\"), \n structure(\"mean(sun10) - mean(f10)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"vcov(sun10) - vcov(f10)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/convertSN2SUNdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"vcov(sun10) - vcov(f10)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/convertSN2SUNdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dmsn (list) = structure(list(structure(list(structure(\"Multivariate skew-normal distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dmsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dmsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"pmsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"rmsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2293,15 +2293,15 @@\n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"rnd <- rmsn(10, xi, Omega, alpha)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"# use OP parameters to fix marginal shapes at given lambda values:\\n\", Rd_tag = \"RCODE\"), \n structure(\"op <- list(xi=c(0,1), Psi=matrix(c(2,2,2,3), 2, 2), lambda=c(5, -2))\\n\", Rd_tag = \"RCODE\"), \n structure(\"rnd <- rmsn(10, dp=op2dp(op,\\\"SN\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"# \\n\", Rd_tag = \"RCODE\"), structure(\"# use CP parameters to fix mean vector, variance matrix and marginal skewness:\\n\", Rd_tag = \"RCODE\"), \n structure(\"cp <- list(mean=c(0,0), var.cov=matrix(c(3,2,2,3)/3, 2, 2), gamma1=c(0.8, 0.4))\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp <- cp2dp(cp, \\\"SN\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"rnd <- rmsn(5, dp=dp)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dmsn.Rd\", class = \"Rd\", meta = list(\n+ structure(\"rnd <- rmsn(5, dp=dp)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dmsn.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dmst (list) = structure(list(structure(list(structure(\"Multivariate skew-\", Rd_tag = \"TEXT\"), \n structure(list(list(structure(\"t\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\" distribution and skew-Cauchy distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dmst\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dmst\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2547,15 +2547,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"x <- seq(-4,4,length=15)\\n\", Rd_tag = \"RCODE\"), \n structure(\"xi <- c(0.5, -1)\\n\", Rd_tag = \"RCODE\"), structure(\"Omega <- diag(2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Omega[2,1] <- Omega[1,2] <- 0.5\\n\", Rd_tag = \"RCODE\"), \n structure(\"alpha <- c(2,2)\\n\", Rd_tag = \"RCODE\"), structure(\"pdf <- dmst(cbind(x,2*x-1), xi, Omega, alpha, 5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"rnd <- rmst(10, xi, Omega, alpha, 6)\\n\", Rd_tag = \"RCODE\"), \n structure(\"p1 <- pmst(c(2,1), xi, Omega, alpha, nu=5)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"p2 <- pmst(c(2,1), xi, Omega, alpha, nu=5, abseps=1e-12, maxpts=10000)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dmst.Rd\", class = \"Rd\", meta = list(\n+ structure(\"p2 <- pmst(c(2,1), xi, Omega, alpha, nu=5, abseps=1e-12, maxpts=10000)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dmst.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dp2cp (list) = structure(list(structure(list(structure(\"Conversion between parametrizations of a skew-elliptical distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dp2cp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dp2cp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"cp2dp\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dp2op\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2847,15 +2847,15 @@\n structure(\"dp <- cp2dp(cp, \\\"SN\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"# notice that the 2nd and the 3rd component remain unchanged\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"# multivariate case\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp3 <- list(xi=1:3, Omega=toeplitz(1/(1:3)), alpha=c(-3, 8, 5), nu=6)\\n\", Rd_tag = \"RCODE\"), \n structure(\"cp3 <- dp2cp(dp3, \\\"ST\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp3.back <- cp2dp(cp3, \\\"ST\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"op3 <- dp2op(dp3, \\\"ST\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"dp3back <- op2dp(op3,\\\"ST\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dp2cp.Rd\", class = \"Rd\", meta = list(\n+ structure(\"dp3back <- op2dp(op3,\\\"ST\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dp2cp.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dsc (list) = structure(list(structure(list(structure(\"Skew-Cauchy Distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dsc\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dsc\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"psc\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"qsc\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2960,15 +2960,15 @@\n structure(list(structure(list(structure(list(structure(\"dst\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dmsc\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"pdf <- dsc(seq(-5,5,by=0.1), alpha=3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"cdf <- psc(seq(-5,5,by=0.1), alpha=3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"q <- qsc(seq(0.1,0.9,by=0.1), alpha=-2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"p <- psc(q, alpha=-2) \\n\", Rd_tag = \"RCODE\"), \n- structure(\"rn <- rsc(100, 5, 2, 5)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dsc.Rd\", class = \"Rd\", meta = list(\n+ structure(\"rn <- rsc(100, 5, 2, 5)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dsc.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dsn (list) = structure(list(structure(list(structure(\"Skew-Normal Distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"psn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"qsn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3207,15 +3207,15 @@\n structure(\", \\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"dmst\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"pdf <- dsn(seq(-3, 3, by=0.1), alpha=3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"cdf <- psn(seq(-3, 3, by=0.1), alpha=3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"q <- qsn(seq(0.1, 0.9, by=0.1), alpha=-2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"r <- rsn(100, 5, 2, 5)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"qsn(1/10^(1:4), 0, 1, 5, 3, solver=\\\"RFB\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dsn.Rd\", class = \"Rd\", meta = list(\n+ structure(\"qsn(1/10^(1:4), 0, 1, 5, 3, solver=\\\"RFB\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dsn.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n dst (list) = structure(list(structure(list(structure(\"Skew-\", Rd_tag = \"TEXT\"), \n structure(list(list(structure(\"t\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\" Distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"dst\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"dst\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3455,15 +3455,15 @@\n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dsc\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"pdf <- dst(seq(-4, 4, by=0.1), alpha=3, nu=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"rnd <- rst(100, 5, 2, -5, 8)\\n\", Rd_tag = \"RCODE\"), \n structure(\"q <- qst(c(0.25, 0.50, 0.75), alpha=3, nu=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"pst(q, alpha=3, nu=5) # must give back c(0.25, 0.50, 0.75)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"p1 <- pst(x=seq(-3,3, by=1), dp=c(0,1,pi, 3.5))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"p2 <- pst(x=seq(-3,3, by=1), dp=c(0,1,pi, 3.5), method=2, rel.tol=1e-9)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/dst.Rd\", class = \"Rd\", meta = list(\n+ structure(\"p2 <- pst(x=seq(-3,3, by=1), dp=c(0,1,pi, 3.5), method=2, rel.tol=1e-9)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/dst.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n extractSECdistr (list) = structure(list(structure(list(structure(\"Extract the SEC error distribution from an object created by \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"extractSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"extractSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"skew-elliptical distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -3533,15 +3533,15 @@\n structure(\"makeSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"m2 <- selm(log(Fe) ~ 1, family=\\\"ST\\\", data=ais, fixed=list(nu=8))\\n\", Rd_tag = \"RCODE\"), \n structure(\"f2 <- extractSECdistr(m2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"show(f2)\\n\", Rd_tag = \"RCODE\"), structure(\"#\\n\", Rd_tag = \"RCODE\"), \n structure(\"m4 <- selm(cbind(BMI, LBM) ~ 1, family=\\\"SN\\\", data=ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"f4 <- extractSECdistr(m4)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"mean(f4)\\n\", Rd_tag = \"RCODE\"), structure(\"vcov(f4)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/extractSECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"mean(f4)\\n\", Rd_tag = \"RCODE\"), structure(\"vcov(f4)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/extractSECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n fitdistr.grouped (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Maximum-likelihood fitting of a univariate distribution from grouped data\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"fitdistr.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"fitdistr.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"grouped data\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -3727,15 +3727,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(barolo)\\n\", Rd_tag = \"RCODE\"), \n structure(\"attach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"A75 <- (reseller==\\\"A\\\" & volume==75)\\n\", Rd_tag = \"RCODE\"), \n structure(\"logPrice <- log(price[A75], 10) # used in documentation of 'selm'; see its fitting\\n\", Rd_tag = \"RCODE\"), \n structure(\"detach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"breaks<- seq(1, 3, by=0.25)\\n\", Rd_tag = \"RCODE\"), \n structure(\"f <- cut(logPrice, breaks = breaks)\\n\", Rd_tag = \"RCODE\"), \n structure(\"counts <- tabulate(f, length(levels(f))) \\n\", Rd_tag = \"RCODE\"), \n structure(\"logPrice.grouped <- fitdistr.grouped(breaks, counts, family='ST')\\n\", Rd_tag = \"RCODE\"), \n- structure(\"summary(logPrice.grouped) # compare this fit with the ungrouped data fitting \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/fitdistr.grouped.Rd\", class = \"Rd\", meta = list(\n+ structure(\"summary(logPrice.grouped) # compare this fit with the ungrouped data fitting \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/fitdistr.grouped.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n fitdistr.grouped-class (list) = structure(list(structure(list(structure(\"Methods for objects of class created by \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"fitdistr.grouped\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"fitdistr.grouped-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"fitdistr.grouped-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"logLik.fitdistr.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -3859,15 +3859,15 @@\n structure(\"afcrc59 <- 1.141\\n\", Rd_tag = \"RCODE\"), structure(\"breaks <- c(-Inf, afcrc59 - 0.033, afcrc59, afcrc59 + 0.037, Inf)\\n\", Rd_tag = \"RCODE\"), \n structure(\"prob <- c(0.16, 0.50, 0.84) \\n\", Rd_tag = \"RCODE\"), \n structure(\"cum.percent <- c(0, prob, 1)*100 \\n\", Rd_tag = \"RCODE\"), \n structure(\"fitSN <- fitdistr.grouped(breaks, counts=diff(cum.percent), family=\\\"SN\\\") \\n\", Rd_tag = \"RCODE\"), \n structure(\"print(coef(fitSN))\\n\", Rd_tag = \"RCODE\"), \n structure(\"print(rbind(target=c(prob, 1)*100, fitted=cumsum(fitted(fitSN))), digits=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# Note: given the nature of these data (i.e. probabilities, not counts), \\n\", Rd_tag = \"RCODE\"), \n- structure(\"# there is no point to use vcov, logLik and summary on the fitted object.\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/fitdistr.grouped-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# there is no point to use vcov, logLik and summary on the fitted object.\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/fitdistr.grouped-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n fournum (list) = structure(list(structure(list(structure(\"Four-number summary of a numeric vector\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"fournum\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"fournum\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"quantile\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n structure(list(structure(\"median\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -3976,15 +3976,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"quantile\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"fivenum\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"IQR\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n- structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"fournum(datasets::rivers)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/fournum.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"fournum(datasets::rivers)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/fournum.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n frontier (list) = structure(list(structure(list(structure(\"Simulated sample from a skew-normal distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"frontier\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"frontier\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"datasets\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" A sample simulated from the SN(0,1,5) distribution with sample\\n\", Rd_tag = \"TEXT\"), \n@@ -3996,15 +3996,15 @@\n structure(list(structure(\"Generated by a run of \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"rsn(50, 0, 1, 5)\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\".\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\source\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(frontier, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"fit <- selm(frontier ~ 1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(fit, which=2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"fit.p <- selm(frontier ~ 1, method=\\\"MPLE\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"plot(fit.p, which=2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/frontier.Rd\", class = \"Rd\", meta = list(\n+ structure(\"plot(fit.p, which=2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/frontier.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n galton_moors2alpha_nu (list) = structure(list(structure(list(structure(\"Mapping of the (Galton-Bowley, Moors) measures to the \\n\", Rd_tag = \"TEXT\"), \n structure(\" (\", Rd_tag = \"TEXT\"), structure(list(list(\n structure(\"alpha\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(list(structure(\"nu\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\") parameters of a ST distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n@@ -4095,15 +4095,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"fournum\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"sn\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"st.prelimFit\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"galton_moors2alpha_nu(0.5, 3, quick=FALSE) # input in the feasible area\\n\", Rd_tag = \"RCODE\"), \n structure(\"galton_moors2alpha_nu(0.5, 3) # very similar output, much more quickly\\n\", Rd_tag = \"RCODE\"), \n- structure(\"galton_moors2alpha_nu(0.5, 0.5) # input outside the feasible area\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/galton_moors2alpha_nu.Rd\", class = \"Rd\", meta = list(\n+ structure(\"galton_moors2alpha_nu(0.5, 0.5) # input outside the feasible area\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/galton_moors2alpha_nu.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n hideOutput (NULL) = NULL\n \n makeSECdistr (list) = structure(list(structure(list(structure(\"Build a skew-elliptically contoured distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"makeSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"makeSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4338,15 +4338,15 @@\n structure(\"show(f1)\\n\", Rd_tag = \"RCODE\"), structure(\"summary(f1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(f1)\\n\", Rd_tag = \"RCODE\"), structure(\"plot(f1, probs=c(0.1, 0.9))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"f2 <- makeSECdistr(dp=c(3, 5, -4, 8), family=\\\"ST\\\", name=\\\"First-ST\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"f9 <- makeSECdistr(dp=c(5, 1, Inf, 0.5), family=\\\"ESN\\\", name=\\\"ESN,alpha=Inf\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"dp0 <- list(xi=1:2, Omega=diag(3:4), alpha=c(3, -5))\\n\", Rd_tag = \"RCODE\"), \n structure(\"f10 <- makeSECdistr(dp=dp0, family=\\\"SN\\\", name=\\\"SN-2d\\\", compNames=c(\\\"u1\\\", \\\"u2\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"dp1 <- list(xi=1:2, Omega=diag(1:2)+outer(c(3,3),c(2,2)), alpha=c(-3, 5), nu=6)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"f11 <- makeSECdistr(dp=dp1, family=\\\"ST\\\", name=\\\"ST-2d\\\", compNames=c(\\\"t1\\\", \\\"t2\\\"))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/makeSECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"f11 <- makeSECdistr(dp=dp1, family=\\\"ST\\\", name=\\\"ST-2d\\\", compNames=c(\\\"t1\\\", \\\"t2\\\"))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/makeSECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n makeSUNdistr (list) = structure(list(structure(list(structure(\"Build an object representing a SUN distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"makeSUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"makeSUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"SUN distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n structure(list(structure(\"Unified Skew-Normal distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -4471,15 +4471,15 @@\n structure(\" objects \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"xi <- c(1, 0, -1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Omega <- matrix(c(2,1,1, 1,3,1, 1,1,4), 3, 3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Delta <- matrix(c(0.72,0.20, 0.51,0.42, 0.88, 0.94), 3, 2, byrow=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Gamma <- matrix(c(1, 0.8, 0.8, 1), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp3 <- list(xi=xi, Omega=Omega, Delta=Delta, tau=c(-0.5, 0), Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sun3 <- makeSUNdistr(dp=dp3, name=\\\"SUN3\\\", compNames=c(\\\"x\\\", \\\"w\\\", \\\"z\\\"))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"show(sun3)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/makeSUNdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"show(sun3)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/makeSUNdistr.Rd\", class = \"Rd\", meta = list(\n docType = \"package\"), prepared = 3L)\n \n matrix-op (list) = structure(list(structure(list(structure(\"vech, tr and other matrix operators\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"matrix-op\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"vech\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"vech2mat\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"duplicationMatrix\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4577,15 +4577,15 @@\n structure(\"calculus with application in statistics and econometrics\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\"Wiley series in probability and statistics.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"M <- toeplitz(1:4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"v <- vech(M)\\n\", Rd_tag = \"RCODE\"), structure(\"vech2mat(v) - M\\n\", Rd_tag = \"RCODE\"), \n structure(\"D <- duplicationMatrix(ncol(M))\\n\", Rd_tag = \"RCODE\"), \n structure(\"# D %*% vech(M) - as.vector(M), must be a one-column matrix of 0s\\n\", Rd_tag = \"RCODE\"), \n structure(\"tr(outer(1:4,2:5))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"blockDiag(M[1:2,], 1:2, diag(5:6))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/matrix-op.Rd\", class = \"Rd\", meta = list(\n+ structure(\"blockDiag(M[1:2,], 1:2, diag(5:6))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/matrix-op.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n modeSECdistr (list) = structure(list(structure(list(structure(\"The mode of a skew-elliptically contoured (\", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SEC\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\") distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"modeSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"modeSECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4655,15 +4655,15 @@\n structure(\" which compute the mean (vector) \\n\", Rd_tag = \"TEXT\"), \n structure(\" and the variance (matrix) of the \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"object\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" distribution\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"dp3 <- list(xi=1:3, Omega=toeplitz(1/(1:3)), alpha=c(3,-1,2), nu=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"st3 <- makeSECdistr(dp3, family=\\\"ST\\\", name=\\\"ST3\\\", compNames=c(\\\"U\\\", \\\"V\\\", \\\"W\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"mode1 <- modeSECdistr(dp3, \\\"ST\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"mode2 <- modeSECdistr(object=st3) # the same of mode1\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/modeSECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"mode2 <- modeSECdistr(object=st3) # the same of mode1\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/modeSECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n overview-sn (list) = structure(list(structure(list(structure(\"Package \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"sn\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\pkg\"), \n structure(\": overview of the structure and main commands\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"overview-sn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"overview-sn\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -4966,15 +4966,15 @@\n structure(list(structure(\"et cetera\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" to the author, \\n\", Rd_tag = \"TEXT\"), \n structure(\"whose web page is \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"http://azzalini.stat.unipd.it/\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\url\"), \n structure(\".\\n\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\section\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"Azzalini, A. with the collaboration of Capitanio, A. (2014). \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"The Skew-Normal and Related Families\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n- structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\" Cambridge University Press, IMS Monographs series.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/overview-sn.Rd\", class = \"Rd\", meta = list(\n+ structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\" Cambridge University Press, IMS Monographs series.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/overview-sn.Rd\", class = \"Rd\", meta = list(\n docType = \"package\"), prepared = 3L)\n \n plot.SECdistr (list) = structure(list(structure(list(structure(\"Plotting methods for classes \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SECdistrUv\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" and \", Rd_tag = \"TEXT\"), structure(list(structure(\"SECdistrMv\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plot.SECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plot.SECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5204,15 +5204,15 @@\n structure(\"Omega2 <- matrix(c(3, -3, -3, 5), 2, 2) \\n\", Rd_tag = \"RCODE\"), \n structure(\"f2 <- makeSECdistr(dp=list(c(10,30), Omega=Omega2, alpha=c(-3, 5)), \\n\", Rd_tag = \"RCODE\"), \n structure(\" family=\\\"sn\\\", name=\\\"SN-2d\\\", compNames=c(\\\"x1\\\",\\\"x2\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(f2) \\n\", Rd_tag = \"RCODE\"), structure(\"x2 <- rmsn(100, dp=slot(f2,\\\"dp\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(f2, main=\\\"Distribution 'f2'\\\", probs=c(0.5,0.9), cex.main=1.5, col=2,\\n\", Rd_tag = \"RCODE\"), \n structure(\" cex=0.8, compLabs=c(expression(x[1]), expression(log(z[2]-beta^{1/3}))), \\n\", Rd_tag = \"RCODE\"), \n structure(\" data=x2, data.par=list(col=4, cex=0.6, pch=5))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/plot.SECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.SECdistr.Rd\", class = \"Rd\", meta = list(\n docType = \"methods\"), prepared = 3L)\n \n plot.SUNdistr-method (list) = structure(list(structure(list(structure(\"Plotting method for class \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SUNdistr\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plot.SUNdistr-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plot.SUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"plot,SUNdistr-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5323,15 +5323,15 @@\n structure(\"Omega <- matrix(c(2,1,1, 1,3,1, 1,1,4), 3, 3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Delta <- matrix(c(0.72,0.20, 0.51,0.42, 0.88, 0.94), 3, 2, byrow=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Gamma <- matrix(c(1, 0.8, 0.8, 1), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp3 <- list(xi=xi, Omega=Omega, Delta=Delta, tau=c(-0.5, 0), Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sun3 <- makeSUNdistr(dp=dp3, name=\\\"SUN3\\\", compNames=c(\\\"x\\\", \\\"w\\\", \\\"z\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(sun3, npt=rep(51,3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"p <- plot(sun3, comp=2:3, compLabs=c(expression(x[2]), expression(x[3])))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# str(p)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/plot.SUNdistr-method.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# str(p)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.SUNdistr-method.Rd\", class = \"Rd\", meta = list(\n docType = \"methods\"), prepared = 3L)\n \n plot.fitdistr.grouped (list) = structure(list(structure(list(structure(\"Plot an object generated by \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"fitdistr.grouped\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plot.fitdistr.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plot.fitdistr.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"plot,fitdistr.grouped-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5418,15 +5418,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(barolo)\\n\", Rd_tag = \"RCODE\"), \n structure(\"attach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"A75 <- (reseller==\\\"A\\\" & volume==75)\\n\", Rd_tag = \"RCODE\"), \n structure(\"logPrice <- log(price[A75],10) # as used in selm documentation; see its fitting\\n\", Rd_tag = \"RCODE\"), \n structure(\"detach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"breaks<- seq(1, 3, by=0.25)\\n\", Rd_tag = \"RCODE\"), \n structure(\"f <- cut(logPrice, breaks = breaks)\\n\", Rd_tag = \"RCODE\"), \n structure(\"freq <- tabulate(f, length(levels(f))) \\n\", Rd_tag = \"RCODE\"), \n structure(\"logPrice.grouped <- fitdistr.grouped(breaks, freq, family='ST')\\n\", Rd_tag = \"RCODE\"), \n- structure(\"plot(logPrice.grouped)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/plot.fitdistr.grouped.Rd\", class = \"Rd\", meta = list(\n+ structure(\"plot(logPrice.grouped)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.fitdistr.grouped.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n plot.selm (list) = structure(list(structure(list(structure(\"Diagnostic plots for \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" fits\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plot.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plot.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -5676,15 +5676,15 @@\n structure(\"# \\n\", Rd_tag = \"RCODE\"), structure(\"data(ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"m30 <- selm(cbind(RCC, Hg, Fe) ~ 1, family=\\\"SN\\\", data=ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(m30, col=2, which=2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"# multiple plots on the same sheet \\n\", Rd_tag = \"RCODE\"), \n structure(\"par(mfcol=c(2,2)) \\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(m30, which=1:3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"par(mfcol=c(1,1)) \\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/plot.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/plot.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n pprodt2 (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"The distribution of the product of two jointly normal or \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"t\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" variables\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"pprodt2\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n@@ -5764,15 +5764,15 @@\n structure(\" variates.\\n\", Rd_tag = \"TEXT\"), structure(list(\n structure(\"Journal of the American Statistical Association\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", 75, 996-1000\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"uniroot\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"p <- pprodt2(-3:3, 0.5, 8)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"qprodt2(p, 0.5, 8)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/pprodt2.Rd\", class = \"Rd\", meta = list(\n+ structure(\"qprodt2(p, 0.5, 8)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/pprodt2.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n predict.selm (list) = structure(list(structure(list(structure(\"Predict method for selm-class objects\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"predict.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"predict.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"predict.selm-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"confidence interval\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -5888,15 +5888,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"predict.lm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\" for usage of \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"na.action\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(barolo)\\n\", Rd_tag = \"RCODE\"), \n structure(\"attach(barolo) \\n\", Rd_tag = \"RCODE\"), structure(\"A75 <- (reseller==\\\"A\\\" & volume==75)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"detach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"m3 <- selm(log(price, 10) ~ age, data=barolo[A75,], family=\\\"ST\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/predict.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"detach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"m3 <- selm(log(price, 10) ~ age, data=barolo[A75,], family=\\\"ST\\\") \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/predict.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n profile.selm (list) = structure(list(structure(list(structure(\"Profile log-likelihood function of selm-class objects\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"profile.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"profile.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"profile.selm-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"confidence interval\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -6142,15 +6142,15 @@\n structure(\" argument\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(ais, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"m1 <- selm(log(Fe) ~ BMI + LBM, family = \\\"sn\\\", data = ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"pll <- profile(m1, \\\"dp\\\", param.name=\\\"alpha\\\", param.val=c(-3,2))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"profile(m1, \\\"cp\\\", param.name=\\\"gamma1\\\", param.val=seq(-0.7, 0.4, by=0.1))\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"# in the next example, we reduce the grid points to save execution time\\n\", Rd_tag = \"RCODE\"), \n structure(\"pll <- profile(m1, \\\"cp\\\", param.name=c(\\\"(Intercept.CP)\\\", \\\"gamma1\\\"),\\n\", Rd_tag = \"RCODE\"), \n- structure(\" param.val = list(c(1.5, 4), c(-0.8, 0.5)), npt=c(11,11) )\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/profile.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\" param.val = list(c(1.5, 4), c(-0.8, 0.5)), npt=c(11,11) )\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/profile.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n residuals.selm (list) = structure(list(structure(list(structure(\"Residuals and fitted values from \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" fits\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"residuals.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"residuals.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -6246,15 +6246,15 @@\n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\" \\n\", Rd_tag = \"RCODE\"), structure(\"data(wines, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"m5 <- selm(acidity ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"residuals(m5)\\n\", Rd_tag = \"RCODE\"), structure(\"residuals(m5, \\\"dp\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"fitted(m5, \\\"dp\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"m12 <- selm(cbind(acidity, alcohol) ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"residuals(m12)\\n\", Rd_tag = \"RCODE\"), structure(\"#\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# see other examples at function selm\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/residuals.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# see other examples at function selm\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/residuals.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n safeDeparse (closure) = function (obj) \n {\n tryCatch({\n deparse(obj)\n }, error = function(e) {\n@@ -6297,15 +6297,15 @@\n structure(list(list(structure(list(), Rd_tag = \"\\\\dots\")), \n list(structure(\"further arguments passed to or from other methods.\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\item\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\arguments\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"sd\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"stats\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"SECdistrUv\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\linkS4class\")), Rd_tag = \"\\\\code\"), \n- structure(\" \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/sd.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/sd.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n selm (list) = structure(list(structure(list(structure(\"Fitting linear models with skew-elliptical error term\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n structure(list(structure(\"skew-elliptical distribution\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n@@ -7125,15 +7125,15 @@\n structure(\"dp28 <- coef(m28, \\\"DP\\\", vector=FALSE) \\n\", Rd_tag = \"RCODE\"), \n structure(\"pcp28 <- coef(m28, \\\"pseudo-CP\\\", vector=FALSE) \\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\"# the next statement takes a little more time than others\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(m28)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\donttest\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"#\\n\", Rd_tag = \"RCODE\"), \n structure(\"m4 <- selm(cbind(alcohol,sugar)~1, family=\\\"ST\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"m5 <- selm(cbind(alcohol,sugar)~1, family=\\\"ST\\\", data=wines, fixed=list(alpha=0))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"print(1 - pchisq(2*as.numeric(logLik(m4)-logLik(m5)), 2)) # test for symmetry\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"print(1 - pchisq(2*as.numeric(logLik(m4)-logLik(m5)), 2)) # test for symmetry\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n selm-class (list) = structure(list(structure(list(structure(\"Classes \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" and \", Rd_tag = \"TEXT\"), structure(list(structure(\"mselm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" of objects created by \\n\", Rd_tag = \"TEXT\"), \n structure(\"function \", Rd_tag = \"TEXT\"), structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n@@ -7383,15 +7383,15 @@\n structure(\"logLik(m1)\\n\", Rd_tag = \"RCODE\"), structure(\"res <- residuals(m1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"fv <- fitted(m1)\\n\", Rd_tag = \"RCODE\"), structure(\"# \\n\", Rd_tag = \"RCODE\"), \n structure(\"data(wines, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"m2 <- selm(alcohol ~ malic + phenols, data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"m12 <- selm(cbind(acidity, alcohol) ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"coef(m12)\\n\", Rd_tag = \"RCODE\"), structure(\"cp <- coef(m12, vector=FALSE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp <- coef(m12, \\\"DP\\\", vector=FALSE)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"plot(m12)\\n\", Rd_tag = \"RCODE\"), structure(\"plot(m12, which=2, col=\\\"gray60\\\", pch=20)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/selm-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\"plot(m12)\\n\", Rd_tag = \"RCODE\"), structure(\"plot(m12, which=2, col=\\\"gray60\\\", pch=20)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/selm-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n selm.fit (list) = structure(list(structure(list(structure(\"Fitting functions for \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" models\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"selm.fit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"selm.fit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -7792,15 +7792,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"Qpenalty\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" for specification of a penalty function \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\" \\n\", Rd_tag = \"RCODE\"), structure(\"data(wines, package=\\\"sn\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"X <- model.matrix(~ phenols + wine, data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"fit <- msn.mle(x=X, y=cbind(wines$acidity, wines$alcohol), opt.method=\\\"BFGS\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"fit <- st.mple(x=X, y = wines$acidity, fixed.nu=4, penalty=\\\"Qpenalty\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/selm.fit.Rd\", class = \"Rd\", meta = list(\n+ structure(\"fit <- st.mple(x=X, y = wines$acidity, fixed.nu=4, penalty=\\\"Qpenalty\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/selm.fit.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n sn-package (list) = structure(list(structure(list(structure(\"Package \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"sn\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\pkg\"), \n structure(\": overview, background and history\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"sn-package\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"sn-package\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -7993,15 +7993,15 @@\n structure(\"see the command \", Rd_tag = \"TEXT\"), structure(list(\n structure(\"citation(\\\"sn\\\")\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\". \\n\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\section\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"Azzalini, A. with the collaboration of Capitanio, A. (2014). \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"The Skew-Normal and Related Families\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\" Cambridge University Press, IMS Monographs series.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"package-overview\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\", Rd_option = structure(\"=overview-sn\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\code\"), \n- structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/sn-package.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-package.Rd\", class = \"Rd\", meta = list(\n docType = \"package\"), prepared = 3L)\n \n sn-st.cumulants (list) = structure(list(structure(list(structure(\"Cumulants of univariate skew-normal and skew-\", Rd_tag = \"TEXT\"), \n structure(list(list(structure(\"t\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\" distributions\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"sn-st.cumulants\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"sn.cumulants\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8067,15 +8067,15 @@\n structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\" Cambridge University Press, IMS Monographs series.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(list(structure(list(structure(\"dsn\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dsn\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"sn.cumulants(omega=2, alpha=c(0, 3, 5, 10), n=5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sn.cumulants(dp=c(0, 3, -8), n=6)\\n\", Rd_tag = \"RCODE\"), \n structure(\"st.cumulants(dp=c(0, 3, -8, 5), n=6) # only four of them are computed\\n\", Rd_tag = \"RCODE\"), \n- structure(\"st.cumulants(dp=c(0, 3, -8, 3))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/sn-st.cumulants.Rd\", class = \"Rd\", meta = list(\n+ structure(\"st.cumulants(dp=c(0, 3, -8, 3))\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-st.cumulants.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n sn-st.info (list) = structure(list(structure(list(structure(\"Expected and observed Fisher information for \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SN\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" \\n\", Rd_tag = \"TEXT\"), structure(\" and \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"ST\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" distributions\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n@@ -8325,15 +8325,15 @@\n structure(\"set.seed(1); rnd <- rsn(100, dp=c(0, 1, 3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"fit <- selm(rnd~1, family=\\\"SN\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"infoO <- sn.infoUv(cp=coef(fit), y=rnd) # observed information\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"data(wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"X <- model.matrix(~ pH + wine, data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"fit <- sn.mple(x=X, y=wines$alcohol)\\n\", Rd_tag = \"RCODE\"), \n structure(\"infoE <- sn.infoUv(cp=fit$cp, x=X)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"infoO <- sn.infoUv(cp=fit$cp, x=X, y=wines$alcohol)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/sn-st.info.Rd\", class = \"Rd\", meta = list(\n+ structure(\"infoO <- sn.infoUv(cp=fit$cp, x=X, y=wines$alcohol)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/sn-st.info.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n spread.grouped (list) = structure(list(structure(list(structure(\"Spreading grouped data over intervals\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"spread.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"spread.grouped\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"grouped data\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\concept\"), \n structure(list(structure(\"manip\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -8376,15 +8376,15 @@\n structure(list(structure(\"range(breaks)\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\".\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\"Adelchi Azzalini\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"fitdistr.grouped\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"breaks <- c(10, 12, 15, 20)\\n\", Rd_tag = \"RCODE\"), \n structure(\"counts <- c(3, 2, 4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"spread.grouped(breaks, counts)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"spread.grouped(breaks, counts, \\\"l\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/spread.grouped.Rd\", class = \"Rd\", meta = list(\n+ structure(\"spread.grouped(breaks, counts, \\\"l\\\")\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/spread.grouped.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n st.prelimFit (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Compute preliminary estimates for a linear model with ST-distributed error term\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"st.prelimFit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"st.prelimFit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"mst.prelimFit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8521,15 +8521,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(barolo)\\n\", Rd_tag = \"RCODE\"), \n structure(\"attach(barolo) \\n\", Rd_tag = \"RCODE\"), structure(\"A75 <- (reseller==\\\"A\\\" & volume==75) \\n\", Rd_tag = \"RCODE\"), \n structure(\"log.price <- log(price[A75], 10)\\n\", Rd_tag = \"RCODE\"), \n structure(\"prelimFit <- st.prelimFit(y=log.price)\\n\", Rd_tag = \"RCODE\"), \n structure(\"detach(barolo)\\n\", Rd_tag = \"RCODE\"), structure(\"# \\n\", Rd_tag = \"RCODE\"), \n structure(\"data(ais)\\n\", Rd_tag = \"RCODE\"), structure(\"attach(ais)\\n\", Rd_tag = \"RCODE\"), \n structure(\"prelim32 <- mst.prelimFit(y=cbind(BMI, LBM), x=cbind(1, Ht, Wt))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"detach(ais)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/st.prelimFit.Rd\", class = \"Rd\", meta = list(\n+ structure(\"detach(ais)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/st.prelimFit.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n summary.SECdistr (list) = structure(list(structure(list(structure(\"Summary of a \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SEC\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" distribution object\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.SECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.SECdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8744,15 +8744,15 @@\n structure(\"st3 <- makeSECdistr(dp=dp3, family=\\\"ST\\\", name=\\\"ST3\\\", compNames=c(\\\"U\\\", \\\"V\\\", \\\"W\\\"))\\n\", Rd_tag = \"RCODE\"), \n structure(\"s <- summary(st3)\\n\", Rd_tag = \"RCODE\"), structure(\"dp <- slot(s, \\\"dp\\\") # the same of slot(st3, \\\"dp\\\")\\n\", Rd_tag = \"RCODE\"), \n structure(\"slot(s, \\\"cp\\\")$var.cov # the same of vcov(st3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"slot(s, \\\"aux\\\")$delta.star # comprehensive coefficient of shape\\n\", Rd_tag = \"RCODE\"), \n structure(\"slot(s, \\\"aux\\\")$mardia # Mardia's measures of skewness and kurtosis\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"dp2 <- list(xi=rep(0,2), Omega=matrix(c(2,2,2,4),2,2), alpha=c(3,-5), tau=-1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"esn2 <- makeSECdistr(dp=dp2, family=\\\"ESN\\\", name=\\\"ESN-2d\\\")\\n\", Rd_tag = \"RCODE\"), \n- structure(\"summary(esn2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/summary.SECdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"summary(esn2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SECdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n summary.SECdistr-class (list) = structure(list(structure(list(structure(\"Classes \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"summary.SECdistrMv\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" and \", Rd_tag = \"TEXT\"), structure(list(structure(\"summary.SECdistrUv\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.SECdistrMv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.SECdistrMv-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8844,15 +8844,15 @@\n structure(list(structure(list(structure(list(structure(\"summary.SECdistrMv\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"summary.SECdistrUv\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\",\\n\", Rd_tag = \"TEXT\"), structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"makeSECdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"dp2cp\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n- structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/summary.SECdistr-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SECdistr-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n summary.SUNdistr (list) = structure(list(structure(list(structure(\"Summary of a \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"SUN\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\acronym\"), \n structure(\" distribution object\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.SUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.SUNdistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -8950,15 +8950,15 @@\n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"Omega <- matrix(c(5, 1, 1, 6), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Delta <- matrix(c(0.30, 0.50, 0.50, 0.85), 2, 2, byrow=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"Gamma <- matrix(c(1, 0.18, 0.18, 1), 2, 2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"tau <- c(0.4, -0.8)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp2 <- list(x=c(1, 0), Omega=Omega, Delta=Delta, tau=tau, Gamma=Gamma)\\n\", Rd_tag = \"RCODE\"), \n structure(\"sun2 <- makeSUNdistr(dp=dp2, name=\\\"SUN2\\\", compNames=c(\\\"u\\\", \\\"v\\\"))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"s <- summary(sun2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/summary.SUNdistr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"s <- summary(sun2)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), dynamicFlag = 10L, Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SUNdistr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n summary.SUNdistr-class (list) = structure(list(structure(list(structure(\"Class \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"summary.SUNdistr\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.SUNdistr-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.SUNdistr-class\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"show,summary.SUNdistr-method\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -9016,15 +9016,15 @@\n structure(\": ... \", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\item\"), \n structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"\\t \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\describe\"), \n structure(\"\\n\", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\section\"), \n structure(list(structure(\"Adelchi Azzalini\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"summary.SUNdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n- structure(\"makeSUNdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/summary.SUNdistr-class.Rd\", class = \"Rd\", meta = list(\n+ structure(\"makeSUNdistr\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.SUNdistr-class.Rd\", class = \"Rd\", meta = list(\n docType = \"class\"), prepared = 3L)\n \n summary.selm (list) = structure(list(structure(list(structure(\"Summarizing \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"selm\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" fits\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.selm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -9197,15 +9197,15 @@\n structure(\"s5 <- summary(m5, \\\"dp\\\", cor=TRUE, cov=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dp.cor <- slot(s5, \\\"aux\\\")$param.cor\\n\", Rd_tag = \"RCODE\"), \n structure(\"cov2cor(vcov(m5, \\\"dp\\\")) # the same\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"# m6 <- selm(acidity ~ phenols + wine, family=\\\"ST\\\", data=wines) # boundary!?\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"m12 <- selm(cbind(acidity, alcohol) ~ phenols + wine, family=\\\"SN\\\", data=wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"s12 <- summary(m12)\\n\", Rd_tag = \"RCODE\"), \n structure(\"coef(m12, 'dp')\\n\", Rd_tag = \"RCODE\"), structure(\"coef(m12, \\\"dp\\\", vector=FALSE)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"# see other examples at function selm\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/summary.selm.Rd\", class = \"Rd\", meta = list(\n+ structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"# see other examples at function selm\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/summary.selm.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n symm-modulated-distr (list) = structure(list(structure(list(structure(\"Symmetry-modulated distributions\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"symm-modulated-distr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"SymmModulatedDistr\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"dSymmModulated\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"rSymmModulated\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -9677,15 +9677,15 @@\n structure(\"# univariate analogue of the bivariate distribution on pp.372-3 of\\n\", Rd_tag = \"RCODE\"), \n structure(\"# Azzalini & Capitanio (2003) \\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"range <- cbind(c(-3,3), c(-3,3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"wMvTrigs <- function(z, p, q) sin(z %*% p)/(1 + cos(z %*% q))\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot2D.SymmModulated(range, xi=c(0,0), Omega=diag(2), f0=\\\"normal\\\", G0=\\\"normal\\\",\\n\", Rd_tag = \"RCODE\"), \n structure(\" w=wMvTrigs, par.f0=NULL, par.G0=NULL, p=c(2,3), q=c(1,1), col=4)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# w(.) as in (1.6) of Azzalini & Capitanio (2014, p.4) and plot as in \\n\", Rd_tag = \"RCODE\"), \n- structure(\"# bottom-right panel of their Figure 1.1. \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/symm-modulated-distr.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# bottom-right panel of their Figure 1.1. \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/symm-modulated-distr.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n wines (list) = structure(list(structure(list(structure(\"Piedmont wines data\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"wines\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"wines\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"datasets\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"UTF-8\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\encoding\"), \n@@ -9860,15 +9860,15 @@\n structure(\", 189--201.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(wines)\\n\", Rd_tag = \"RCODE\"), \n structure(\"pairs(wines[,c(2,3,16:18)], col=as.numeric(wines$wine))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"code <- substr(rownames(wines), 1, 3)\\n\", Rd_tag = \"RCODE\"), \n structure(\"table(wines$wine, code)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"year <- as.numeric(substr(rownames(wines), 6, 7))\\n\", Rd_tag = \"RCODE\"), \n structure(\"table(wines$wine, year)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# coincides with Table 1(a) of Forina et al. (1986)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/wines.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# coincides with Table 1(a) of Forina et al. (1986)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/wines.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n zeta (list) = structure(list(structure(list(structure(\"Function \", Rd_tag = \"TEXT\"), \n structure(list(list(structure(\"\\\\log(2\\\\,\\\\Phi(x))\", Rd_tag = \"VERB\")), \n list(structure(\"log(2 Phi(x))\", Rd_tag = \"VERB\"))), Rd_tag = \"\\\\eqn\"), \n structure(\" and its derivatives\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"zeta\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n@@ -9950,10 +9950,10 @@\n structure(\"https://arXiv.org/abs/0911.2093\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\url\"), \n structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" \\n\", Rd_tag = \"TEXT\"), \n structure(\"Azzalini, A. with the collaboration of Capitanio, A. (2014). \\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"The Skew-Normal and Related Families\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\". \\n\", Rd_tag = \"TEXT\"), structure(\" Cambridge University Press, IMS Monographs series. \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"y <- zeta(2,seq(-20,20,by=0.5))\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"for(k in 0:5) curve(zeta(k,x), from=-1.5, to=5, col = k+2, add = k > 0)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"legend(3.5, -0.5, legend=as.character(0:5), col=2:7, lty=1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-sn-2.1.1/man/zeta.Rd\", class = \"Rd\", meta = list(\n+ structure(\"legend(3.5, -0.5, legend=as.character(0:5), col=2:7, lty=1)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-sn-2.1.1/2nd/man/zeta.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n"}]}, {"source1": "./usr/lib/R/site-library/sn/help/sn.rdx", "source2": "./usr/lib/R/site-library/sn/help/sn.rdx", "unified_diff": null, "details": [{"source1": "sn.rdx-content", "source2": "sn.rdx-content", "unified_diff": null, "details": [{"source1": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "source2": "Rscript --vanilla -e 'args <- commandArgs(TRUE); readRDS(args[1])' {}", "unified_diff": "@@ -1,349 +1,349 @@\n $variables\n $variables$Qpenalty\n-[1] 278 4189\n+[1] 280 4191\n \n $variables$`SECdistrMv-class`\n-[1] 4751 4055\n+[1] 4757 4057\n \n $variables$`SECdistrUv-class`\n-[1] 9090 3675\n+[1] 9100 3677\n \n $variables$`SUNdistr-base`\n-[1] 13042 14981\n+[1] 13056 14983\n \n $variables$`SUNdistr-class`\n-[1] 28299 4197\n+[1] 28316 4199\n \n $variables$`SUNdistr-op`\n-[1] 32772 8323\n+[1] 32792 8324\n \n $variables$T.Owen\n-[1] 41372 2488\n+[1] 41394 2491\n \n $variables$affineTransSECdistr\n-[1] 44142 4038\n+[1] 44169 4040\n \n $variables$ais\n-[1] 48448 3145\n+[1] 48479 3148\n \n $variables$barolo\n-[1] 51869 2463\n+[1] 51904 2466\n \n $variables$coef.selm\n-[1] 54609 3319\n+[1] 54650 3320\n \n $variables$conditionalSECdistr\n-[1] 58215 2681\n+[1] 58259 2684\n \n $variables$confint.selm\n-[1] 61175 4415\n+[1] 61225 4417\n \n $variables$convertCSN2SUNpar\n-[1] 65872 4241\n+[1] 65926 4243\n \n $variables$convertSN2SUNdistr\n-[1] 70400 2226\n+[1] 70458 2227\n \n $variables$dmsn\n-[1] 72900 6598\n+[1] 72961 6601\n \n $variables$dmst\n-[1] 79772 7373\n+[1] 79838 7375\n \n $variables$dp2cp\n-[1] 87420 9073\n+[1] 87490 9075\n \n $variables$dsc\n-[1] 96767 3751\n+[1] 96841 3753\n \n $variables$dsn\n-[1] 100792 7560\n+[1] 100870 7562\n \n $variables$dst\n-[1] 108626 7763\n+[1] 108708 7765\n \n $variables$extractSECdistr\n-[1] 116673 2773\n+[1] 116759 2775\n \n $variables$`fitdistr.grouped-class`\n-[1] 119733 4405\n+[1] 119824 4407\n \n $variables$fitdistr.grouped\n-[1] 124422 6429\n+[1] 124518 6432\n \n $variables$fournum\n-[1] 131123 4079\n+[1] 131224 4081\n \n $variables$frontier\n-[1] 135479 1072\n+[1] 135585 1073\n \n $variables$galton_moors2alpha_nu\n-[1] 136840 3658\n+[1] 136950 3660\n \n $variables$makeSECdistr\n-[1] 140775 7466\n+[1] 140889 7468\n \n $variables$makeSUNdistr\n-[1] 148518 4476\n+[1] 148636 4478\n \n $variables$`matrix-op`\n-[1] 153269 3401\n+[1] 153390 3403\n \n $variables$modeSECdistr\n-[1] 156951 2958\n+[1] 157075 2959\n \n $variables$`overview-sn`\n-[1] 160184 9466\n+[1] 160311 9468\n \n $variables$plot.SECdistr\n-[1] 169932 7791\n+[1] 170063 7794\n \n $variables$`plot.SUNdistr-method`\n-[1] 178012 4225\n+[1] 178148 4227\n \n $variables$plot.fitdistr.grouped\n-[1] 182526 3436\n+[1] 182666 3438\n \n $variables$plot.selm\n-[1] 186239 7977\n+[1] 186384 7980\n \n $variables$pprodt2\n-[1] 194492 3038\n+[1] 194643 3040\n \n $variables$predict.selm\n-[1] 197809 4342\n+[1] 197965 4342\n \n $variables$profile.selm\n-[1] 202431 8314\n+[1] 202589 8316\n \n $variables$residuals.selm\n-[1] 211027 3444\n+[1] 211188 3446\n \n $variables$sd\n-[1] 214743 1540\n+[1] 214908 1542\n \n $variables$`selm-class`\n-[1] 216560 6359\n+[1] 216729 6361\n \n $variables$selm\n-[1] 223187 26312\n+[1] 223360 26314\n \n $variables$selm.fit\n-[1] 249776 12317\n+[1] 249953 12318\n \n $variables$`sn-package`\n-[1] 262368 7454\n+[1] 262548 7456\n \n $variables$`sn-st.cumulants`\n-[1] 270104 2618\n+[1] 270287 2621\n \n $variables$`sn-st.info`\n-[1] 273000 8081\n+[1] 273189 8084\n \n $variables$spread.grouped\n-[1] 281363 1974\n+[1] 281558 1979\n \n $variables$st.prelimFit\n-[1] 283617 5212\n+[1] 283819 5214\n \n $variables$`summary.SECdistr-class`\n-[1] 289118 2792\n+[1] 289324 2794\n \n $variables$summary.SECdistr\n-[1] 292195 7172\n+[1] 292405 7175\n \n $variables$`summary.SUNdistr-class`\n-[1] 299650 2107\n+[1] 299866 2111\n \n $variables$summary.SUNdistr\n-[1] 302037 3479\n+[1] 302259 3481\n \n $variables$summary.selm\n-[1] 305797 6008\n+[1] 306023 6010\n \n $variables$`symm-modulated-distr`\n-[1] 312088 14378\n+[1] 312319 14381\n \n $variables$wines\n-[1] 326737 5137\n+[1] 326973 5137\n \n $variables$zeta\n-[1] 332149 3353\n+[1] 332387 3355\n \n \n $references\n $references$`env::1`\n-[1] 0 278\n+[1] 0 280\n \n $references$`env::10`\n-[1] 51593 276\n+[1] 51627 277\n \n $references$`env::11`\n-[1] 54332 277\n+[1] 54370 280\n \n $references$`env::12`\n-[1] 57928 287\n+[1] 57970 289\n \n $references$`env::13`\n-[1] 60896 279\n+[1] 60943 282\n \n $references$`env::14`\n-[1] 65590 282\n+[1] 65642 284\n \n $references$`env::15`\n-[1] 70113 287\n+[1] 70169 289\n \n $references$`env::16`\n-[1] 72626 274\n+[1] 72685 276\n \n $references$`env::17`\n-[1] 79498 274\n+[1] 79562 276\n \n $references$`env::18`\n-[1] 87145 275\n+[1] 87213 277\n \n $references$`env::19`\n-[1] 96493 274\n+[1] 96565 276\n \n $references$`env::2`\n-[1] 4467 284\n+[1] 4471 286\n \n $references$`env::20`\n-[1] 100518 274\n+[1] 100594 276\n \n $references$`env::21`\n-[1] 108352 274\n+[1] 108432 276\n \n $references$`env::22`\n-[1] 116389 284\n+[1] 116473 286\n \n $references$`env::23`\n-[1] 119446 287\n+[1] 119534 290\n \n $references$`env::24`\n-[1] 124138 284\n+[1] 124231 287\n \n $references$`env::25`\n-[1] 130851 272\n+[1] 130950 274\n \n $references$`env::26`\n-[1] 135202 277\n+[1] 135305 280\n \n $references$`env::27`\n-[1] 136551 289\n+[1] 136658 292\n \n $references$`env::28`\n-[1] 140498 277\n+[1] 140610 279\n \n $references$`env::29`\n-[1] 148241 277\n+[1] 148357 279\n \n $references$`env::3`\n-[1] 8806 284\n+[1] 8814 286\n \n $references$`env::30`\n-[1] 152994 275\n+[1] 153114 276\n \n $references$`env::31`\n-[1] 156670 281\n+[1] 156793 282\n \n $references$`env::32`\n-[1] 159909 275\n+[1] 160034 277\n \n $references$`env::33`\n-[1] 169650 282\n+[1] 169779 284\n \n $references$`env::34`\n-[1] 177723 289\n+[1] 177857 291\n \n $references$`env::35`\n-[1] 182237 289\n+[1] 182375 291\n \n $references$`env::36`\n-[1] 185962 277\n+[1] 186104 280\n \n $references$`env::37`\n-[1] 194216 276\n+[1] 194364 279\n \n $references$`env::38`\n-[1] 197530 279\n+[1] 197683 282\n \n $references$`env::39`\n-[1] 202151 280\n+[1] 202307 282\n \n $references$`env::4`\n-[1] 12765 277\n+[1] 12777 279\n \n $references$`env::40`\n-[1] 210745 282\n+[1] 210905 283\n \n $references$`env::41`\n-[1] 214471 272\n+[1] 214634 274\n \n $references$`env::42`\n-[1] 216283 277\n+[1] 216450 279\n \n $references$`env::43`\n-[1] 222919 268\n+[1] 223090 270\n \n $references$`env::44`\n-[1] 249499 277\n+[1] 249674 279\n \n $references$`env::45`\n-[1] 262093 275\n+[1] 262271 277\n \n $references$`env::46`\n-[1] 269822 282\n+[1] 270004 283\n \n $references$`env::47`\n-[1] 272722 278\n+[1] 272908 281\n \n $references$`env::48`\n-[1] 281081 282\n+[1] 281273 285\n \n $references$`env::49`\n-[1] 283337 280\n+[1] 283537 282\n \n $references$`env::5`\n-[1] 28023 276\n+[1] 28039 277\n \n $references$`env::50`\n-[1] 288829 289\n+[1] 289033 291\n \n $references$`env::51`\n-[1] 291910 285\n+[1] 292118 287\n \n $references$`env::52`\n-[1] 299367 283\n+[1] 299580 286\n \n $references$`env::53`\n-[1] 301757 280\n+[1] 301977 282\n \n $references$`env::54`\n-[1] 305516 281\n+[1] 305740 283\n \n $references$`env::55`\n-[1] 311805 283\n+[1] 312033 286\n \n $references$`env::56`\n-[1] 326466 271\n+[1] 326700 273\n \n $references$`env::57`\n-[1] 331874 275\n+[1] 332110 277\n \n $references$`env::6`\n-[1] 32496 276\n+[1] 32515 277\n \n $references$`env::7`\n-[1] 41095 277\n+[1] 41116 278\n \n $references$`env::8`\n-[1] 43860 282\n+[1] 43885 284\n \n $references$`env::9`\n-[1] 48180 268\n+[1] 48209 270\n \n \n $compressed\n [1] TRUE\n \n"}]}]}]}]}]}]}