{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/tmp.Pmiuoy21Jx/b1/r-cran-segmented_1.3-2-1~0exp0_amd64.changes", "source2": "/srv/reproducible-results/rbuild-debian/tmp.Pmiuoy21Jx/b2/r-cran-segmented_1.3-2-1~0exp0_amd64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,2 +1,2 @@\n \n- b005305fe7f9728672ee331f64d98725 527656 gnu-r optional r-cran-segmented_1.3-2-1~0exp0_all.deb\n+ e59cd0b2d3ae2a77e04b0ed007cee62b 527892 gnu-r optional r-cran-segmented_1.3-2-1~0exp0_all.deb\n"}, {"source1": "r-cran-segmented_1.3-2-1~0exp0_all.deb", "source2": "r-cran-segmented_1.3-2-1~0exp0_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 2021-02-10 12:37:06.000000 debian-binary\n -rw-r--r-- 0 0 0 1500 2021-02-10 12:37:06.000000 control.tar.xz\n--rw-r--r-- 0 0 0 525964 2021-02-10 12:37:06.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 526200 2021-02-10 12:37:06.000000 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": "@@ -15,29 +15,29 @@\n -rw-r--r-- 0 root (0) root (0) 516 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/Meta/links.rds\n -rw-r--r-- 0 root (0) root (0) 886 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/Meta/nsInfo.rds\n -rw-r--r-- 0 root (0) root (0) 982 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/Meta/package.rds\n -rw-r--r-- 0 root (0) root (0) 1804 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/NAMESPACE\n -rw-r--r-- 0 root (0) root (0) 20370 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/NEWS\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/\n -rw-r--r-- 0 root (0) root (0) 1058 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/segmented\n--rw-r--r-- 0 root (0) root (0) 397517 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/segmented.rdb\n--rw-r--r-- 0 root (0) root (0) 717 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/segmented.rdx\n+-rw-r--r-- 0 root (0) root (0) 397519 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/segmented.rdb\n+-rw-r--r-- 0 root (0) root (0) 719 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/R/segmented.rdx\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/\n -rw-r--r-- 0 root (0) root (0) 558 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/down.R\n -rw-r--r-- 0 root (0) root (0) 401 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/down.rda\n -rw-r--r-- 0 root (0) root (0) 1285 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/plant.R\n -rw-r--r-- 0 root (0) root (0) 664 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/plant.rda\n -rw-r--r-- 0 root (0) root (0) 391 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/stagnant.R\n -rw-r--r-- 0 root (0) root (0) 352 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/data/stagnant.rda\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/\n -rw-r--r-- 0 root (0) root (0) 922 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/AnIndex\n -rw-r--r-- 0 root (0) root (0) 363 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/aliases.rds\n--rw-r--r-- 0 root (0) root (0) 334 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/paths.rds\n--rw-r--r-- 0 root (0) root (0) 107102 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/segmented.rdb\n--rw-r--r-- 0 root (0) root (0) 691 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/segmented.rdx\n+-rw-r--r-- 0 root (0) root (0) 340 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/paths.rds\n+-rw-r--r-- 0 root (0) root (0) 107192 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/segmented.rdb\n+-rw-r--r-- 0 root (0) root (0) 692 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/help/segmented.rdx\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/html/\n -rw-r--r-- 0 root (0) root (0) 6038 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/html/00Index.html\n -rw-r--r-- 0 root (0) root (0) 1335 2021-02-10 12:37:06.000000 ./usr/lib/R/site-library/segmented/html/R.css\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/share/\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/share/doc/\n drwxr-xr-x 0 root (0) root (0) 0 2021-02-10 12:37:06.000000 ./usr/share/doc/r-cran-segmented/\n -rw-r--r-- 0 root (0) root (0) 1009 2021-02-10 12:37:06.000000 ./usr/share/doc/r-cran-segmented/changelog.Debian.gz\n"}, {"source1": "./usr/lib/R/site-library/segmented/R/segmented.rdb", "source2": "./usr/lib/R/site-library/segmented/R/segmented.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -25,15 +25,15 @@\n \"imports\" = \"residuals = \"residuals\", runif = \"runif\", summary.glm = \"summary.glm\", \"\n \"imports\" = \"summary.lm = \"summary.lm\", update = \"update\", update.formula = \"update.formula\", \"\n \"imports\" = \"vcov = \"vcov\", weights = \"weights\", dnorm = \"dnorm\", lm = \"lm\", \"\n \"imports\" = \"lm.fit = \"lm.fit\", splinefun = \"splinefun\", complete.cases = \"complete.cases\", \"\n \"imports\" = \"sd = \"sd\", qchisq = \"qchisq\", pchisq = \"pchisq\", BIC = \"BIC\"), \"\n \"imports\" = \" utils = c(flush.console = \"flush.console\"))\"\n \"lazydata\" = \"\"\n- \"path\" = \"\"/build/1st/r-cran-segmented-1.3-2/debian/r-cran-segmented/usr/lib/R/site-library/segmented\"\"\n+ \"path\" = \"\"/build/2/r-cran-segmented-1.3-2/2nd/debian/r-cran-segmented/usr/lib/R/site-library/segmented\"\"\n \"spec\" = \"c(name = \"segmented\", version = \"1.3-2\")\"\n }\n \n .__S3MethodsTable__. (environment) = \n {\n }\n \n"}]}, {"source1": "./usr/lib/R/site-library/segmented/R/segmented.rdx", "source2": "./usr/lib/R/site-library/segmented/R/segmented.rdx", "unified_diff": null, "details": [{"source1": "segmented.rdx-content", "source2": "segmented.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": "@@ -1,124 +1,124 @@\n $variables\n $variables$.__NAMESPACE__.\n-[1] 1159 62\n+[1] 1161 62\n \n $variables$.__S3MethodsTable__.\n-[1] 1361 62\n+[1] 1363 62\n \n $variables$.packageName\n-[1] 1423 63\n+[1] 1425 63\n \n $variables$aapc\n-[1] 1486 6129\n+[1] 1488 6129\n \n $variables$broken.line\n-[1] 7615 10266\n+[1] 7617 10266\n \n $variables$coef.segmented\n-[1] 17881 562\n+[1] 17883 562\n \n $variables$confint.segmented\n-[1] 18443 50562\n+[1] 18445 50562\n \n $variables$davies.test\n-[1] 69005 18956\n+[1] 69007 18956\n \n $variables$draw.history\n-[1] 87961 6828\n+[1] 87963 6828\n \n $variables$intercept\n-[1] 94789 4757\n+[1] 94791 4757\n \n $variables$lines.segmented\n-[1] 99546 2316\n+[1] 99548 2316\n \n $variables$plot.segmented\n-[1] 101862 16746\n+[1] 101864 16746\n \n $variables$points.segmented\n-[1] 118608 2863\n+[1] 118610 2863\n \n $variables$predict.segmented\n-[1] 121471 7341\n+[1] 121473 7341\n \n $variables$print.segmented\n-[1] 128812 2491\n+[1] 128814 2491\n \n $variables$print.summary.segmented\n-[1] 131303 4173\n+[1] 131305 4173\n \n $variables$pscore.test\n-[1] 135476 22832\n+[1] 135478 22832\n \n $variables$seg.Ar.fit\n-[1] 158308 17039\n+[1] 158310 17039\n \n $variables$seg.Ar.fit.boot\n-[1] 175347 7440\n+[1] 175349 7440\n \n $variables$seg.control\n-[1] 182787 758\n+[1] 182789 758\n \n $variables$seg.def.fit\n-[1] 183545 20370\n+[1] 183547 20370\n \n $variables$seg.def.fit.boot\n-[1] 203915 7423\n+[1] 203917 7423\n \n $variables$seg.glm.fit\n-[1] 211338 17243\n+[1] 211340 17243\n \n $variables$seg.glm.fit.boot\n-[1] 228581 7594\n+[1] 228583 7594\n \n $variables$seg.lm.fit\n-[1] 236175 19396\n+[1] 236177 19396\n \n $variables$seg.lm.fit.boot\n-[1] 255571 7986\n+[1] 255573 7986\n \n $variables$segmented\n-[1] 263557 263\n+[1] 263559 263\n \n $variables$segmented.Arima\n-[1] 263820 22295\n+[1] 263822 22295\n \n $variables$segmented.default\n-[1] 286115 33094\n+[1] 286117 33094\n \n $variables$segmented.glm\n-[1] 319209 28628\n+[1] 319211 28628\n \n $variables$segmented.lm\n-[1] 347837 28258\n+[1] 347839 28258\n \n $variables$selgmented\n-[1] 376095 5261\n+[1] 376097 5261\n \n $variables$slope\n-[1] 381356 5597\n+[1] 381358 5597\n \n $variables$summary.segmented\n-[1] 386953 6756\n+[1] 386955 6756\n \n $variables$vcov.segmented\n-[1] 393709 3808\n+[1] 393711 3808\n \n \n $references\n $references$`env::1`\n-[1] 312 847\n+[1] 312 849\n \n $references$`env::2`\n [1] 0 140\n \n $references$`env::3`\n [1] 140 172\n \n $references$`env::4`\n-[1] 1221 140\n+[1] 1223 140\n \n \n $compressed\n [1] TRUE\n \n"}]}]}, {"source1": "./usr/lib/R/site-library/segmented/help/paths.rds", "source2": "./usr/lib/R/site-library/segmented/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": "@@ -1,25 +1,25 @@\n- [1] \"/build/1st/r-cran-segmented-1.3-2/man/aapc.Rd\" \n- [2] \"/build/1st/r-cran-segmented-1.3-2/man/broken.line.Rd\" \n- [3] \"/build/1st/r-cran-segmented-1.3-2/man/confint.segmented.Rd\"\n- [4] \"/build/1st/r-cran-segmented-1.3-2/man/davies.test.Rd\" \n- [5] \"/build/1st/r-cran-segmented-1.3-2/man/down.Rd\" \n- [6] \"/build/1st/r-cran-segmented-1.3-2/man/draw.history.Rd\" \n- [7] \"/build/1st/r-cran-segmented-1.3-2/man/intercept.Rd\" \n- [8] \"/build/1st/r-cran-segmented-1.3-2/man/lines.segmented.Rd\" \n- [9] \"/build/1st/r-cran-segmented-1.3-2/man/plant.Rd\" \n-[10] \"/build/1st/r-cran-segmented-1.3-2/man/plot.segmented.Rd\" \n-[11] \"/build/1st/r-cran-segmented-1.3-2/man/points.segmented.Rd\" \n-[12] \"/build/1st/r-cran-segmented-1.3-2/man/predict.segmented.Rd\"\n-[13] \"/build/1st/r-cran-segmented-1.3-2/man/print.segmented.Rd\" \n-[14] \"/build/1st/r-cran-segmented-1.3-2/man/pscore.test.rd\" \n-[15] \"/build/1st/r-cran-segmented-1.3-2/man/seg.control.Rd\" \n-[16] \"/build/1st/r-cran-segmented-1.3-2/man/seg.lm.fit.Rd\" \n-[17] \"/build/1st/r-cran-segmented-1.3-2/man/segmented-package.Rd\"\n-[18] \"/build/1st/r-cran-segmented-1.3-2/man/segmented.Rd\" \n-[19] \"/build/1st/r-cran-segmented-1.3-2/man/selgmented.Rd\" \n-[20] \"/build/1st/r-cran-segmented-1.3-2/man/slope.Rd\" \n-[21] \"/build/1st/r-cran-segmented-1.3-2/man/stagnant.Rd\" \n-[22] \"/build/1st/r-cran-segmented-1.3-2/man/summary.segmented.Rd\"\n-[23] \"/build/1st/r-cran-segmented-1.3-2/man/vcov.segmented.Rd\" \n+ [1] \"/build/2/r-cran-segmented-1.3-2/2nd/man/aapc.Rd\" \n+ [2] \"/build/2/r-cran-segmented-1.3-2/2nd/man/broken.line.Rd\" \n+ [3] \"/build/2/r-cran-segmented-1.3-2/2nd/man/confint.segmented.Rd\"\n+ [4] \"/build/2/r-cran-segmented-1.3-2/2nd/man/davies.test.Rd\" \n+ [5] \"/build/2/r-cran-segmented-1.3-2/2nd/man/down.Rd\" \n+ [6] \"/build/2/r-cran-segmented-1.3-2/2nd/man/draw.history.Rd\" \n+ [7] \"/build/2/r-cran-segmented-1.3-2/2nd/man/intercept.Rd\" \n+ [8] \"/build/2/r-cran-segmented-1.3-2/2nd/man/lines.segmented.Rd\" \n+ [9] \"/build/2/r-cran-segmented-1.3-2/2nd/man/plant.Rd\" \n+[10] \"/build/2/r-cran-segmented-1.3-2/2nd/man/plot.segmented.Rd\" \n+[11] \"/build/2/r-cran-segmented-1.3-2/2nd/man/points.segmented.Rd\" \n+[12] \"/build/2/r-cran-segmented-1.3-2/2nd/man/predict.segmented.Rd\"\n+[13] \"/build/2/r-cran-segmented-1.3-2/2nd/man/print.segmented.Rd\" \n+[14] \"/build/2/r-cran-segmented-1.3-2/2nd/man/pscore.test.rd\" \n+[15] \"/build/2/r-cran-segmented-1.3-2/2nd/man/seg.control.Rd\" \n+[16] \"/build/2/r-cran-segmented-1.3-2/2nd/man/seg.lm.fit.Rd\" \n+[17] \"/build/2/r-cran-segmented-1.3-2/2nd/man/segmented-package.Rd\"\n+[18] \"/build/2/r-cran-segmented-1.3-2/2nd/man/segmented.Rd\" \n+[19] \"/build/2/r-cran-segmented-1.3-2/2nd/man/selgmented.Rd\" \n+[20] \"/build/2/r-cran-segmented-1.3-2/2nd/man/slope.Rd\" \n+[21] \"/build/2/r-cran-segmented-1.3-2/2nd/man/stagnant.Rd\" \n+[22] \"/build/2/r-cran-segmented-1.3-2/2nd/man/summary.segmented.Rd\"\n+[23] \"/build/2/r-cran-segmented-1.3-2/2nd/man/vcov.segmented.Rd\" \n attr(,\"first\")\n-[1] 39\n+[1] 41\n"}]}]}, {"source1": "./usr/lib/R/site-library/segmented/help/segmented.rdb", "source2": "./usr/lib/R/site-library/segmented/help/segmented.rdb", "unified_diff": null, "details": [{"source1": "Rscript --vanilla - {}", "source2": "Rscript --vanilla - {}", "unified_diff": "@@ -99,15 +99,15 @@\n structure(\" Statistics in Medicine; 28, 3670-3682. \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Statistics in Medicine\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(\"29\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 1958--1960.\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"set.seed(12)\\n\", Rd_tag = \"RCODE\"), \n structure(\"x<-1:20\\n\", Rd_tag = \"RCODE\"), structure(\"y<-2-.5*x+.7*pmax(x-9,0)-.8*pmax(x-15,0)+rnorm(20)*.3\\n\", Rd_tag = \"RCODE\"), \n structure(\"o<-lm(y~x)\\n\", Rd_tag = \"RCODE\"), structure(\"os<-segmented(o, psi=c(5,12))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"aapc(os)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/aapc.Rd\", class = \"Rd\", meta = list(\n+ structure(\"aapc(os)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/aapc.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n broken.line (list) = structure(list(structure(list(structure(\" Fitted values for segmented relationships\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"broken.line\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"broken.line\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -227,15 +227,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"set.seed(1234)\\n\", Rd_tag = \"RCODE\"), \n structure(\"z<-runif(100)\\n\", Rd_tag = \"RCODE\"), structure(\"y<-rpois(100,exp(2+1.8*pmax(z-.6,0)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"o<-glm(y~z,family=poisson)\\n\", Rd_tag = \"RCODE\"), \n structure(\"o.seg<-segmented(o,seg.Z=~z,psi=.5)\\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\"plot(z,y)\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(structure(\"points(z,broken.line(o.seg,link=FALSE)$fit,col=2)\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n structure(\" #ok, but use plot.segmented()!\\n\", Rd_tag = \"RCODE\"), \n- structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/broken.line.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/broken.line.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n confint.segmented (list) = structure(list(structure(list(structure(\" Confidence intervals for breakpoints\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"confint.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"confint.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -375,15 +375,15 @@\n structure(\" to plot the estimated breakpoints with corresponding \\n\", Rd_tag = \"TEXT\"), \n structure(\"confidence intervals. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"set.seed(10)\\n\", Rd_tag = \"RCODE\"), \n structure(\"x<-1:100\\n\", Rd_tag = \"RCODE\"), structure(\"z<-runif(100)\\n\", Rd_tag = \"RCODE\"), \n structure(\"y<-2+1.5*pmax(x-35,0)-1.5*pmax(x-70,0)+10*pmax(z-.5,0)+rnorm(100,0,2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"out.lm<-lm(y~x)\\n\", Rd_tag = \"RCODE\"), structure(\"o<-segmented(out.lm,seg.Z=~x+z,psi=list(x=c(30,60),z=.4))\\n\", Rd_tag = \"RCODE\"), \n structure(\"confint(o) #delta CI for the 1st variable \\n\", Rd_tag = \"RCODE\"), \n- structure(\"confint(o, \\\"x\\\", method=\\\"score\\\") #also method=\\\"g\\\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/confint.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"confint(o, \\\"x\\\", method=\\\"score\\\") #also method=\\\"g\\\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/confint.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n davies.test (list) = structure(list(structure(list(structure(\" Testing for a change in the slope \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"davies.test\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"davies.test\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" htest \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Given a generalized linear model, the Davies' test can be employed to test for a non-constant regression parameter\\n\", Rd_tag = \"TEXT\"), \n@@ -572,15 +572,15 @@\n structure(\"z<-runif(100)\\n\", Rd_tag = \"VERB\"), structure(\"x<-rnorm(100,2)\\n\", Rd_tag = \"VERB\"), \n structure(\"y<-2+10*pmax(z-.5,0)+rnorm(100,0,3)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"o<-lm(y~z+x)\\n\", Rd_tag = \"VERB\"), \n structure(\"davies.test(o,~z)\\n\", Rd_tag = \"VERB\"), structure(\"davies.test(o,~x)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"o<-glm(y~z+x)\\n\", Rd_tag = \"VERB\"), \n structure(\"davies.test(o,~z) #it works but the p-value is too small..\\n\", Rd_tag = \"VERB\"), \n structure(\" \", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/davies.test.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/davies.test.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n down (list) = structure(list(structure(list(structure(\" Down syndrome in babies\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"down\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"down\", 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(\"The \", Rd_tag = \"TEXT\"), \n@@ -614,15 +614,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Geyer, C. J. (1991) Constrained maximum likelihood exemplified by isotonic \\n\", Rd_tag = \"TEXT\"), \n structure(\" convex logistic regression. \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Journal of the American Statistical Association\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"86\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 717--724.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(down)\\n\", Rd_tag = \"RCODE\"), \n- structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/down.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/down.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n draw.history (list) = structure(list(structure(list(structure(\" History for the breakpoint estimates \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"draw.history\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"draw.history\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -653,15 +653,15 @@\n structure(list(structure(\" None. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\value\"), \n structure(list(structure(\" Vito M.R. Muggeo \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(stagnant)\\n\", Rd_tag = \"RCODE\"), \n structure(\"os<-segmented(lm(y~x,data=stagnant),seg.Z=~x,psi=-.8)\\n\", Rd_tag = \"RCODE\"), \n structure(\"draw.history(os) #diagnostics with boot restarting\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"os<-segmented(lm(y~x,data=stagnant),seg.Z=~x,psi=-.8, control=seg.control(n.boot=0))\\n\", Rd_tag = \"RCODE\"), \n structure(\"draw.history(os) #diagnostics without boot restarting\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/draw.history.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/draw.history.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n hideOutput (NULL) = NULL\n \n intercept (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\" Intercept estimates from segmented relationships\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"intercept\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n@@ -750,15 +750,15 @@\n structure(list(structure(\"vito.muggeo@unipa.it\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"See also \", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"slope\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" to compute the slopes of the different regression equations \\n\", Rd_tag = \"TEXT\"), \n structure(\" for each segmented relationship in the fitted model.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"## see ?slope\\n\", Rd_tag = \"RCODE\"), \n structure(list(structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"intercept(out.seg)\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/intercept.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/intercept.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n lines.segmented (list) = structure(list(structure(list(structure(\" Bars for interval estimate of the breakpoints \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"lines.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"lines.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -850,15 +850,15 @@\n structure(\" be useful when a null-right-slope constraint is set.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"plot.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" to plot the fitted segmented lines, and \\n\", Rd_tag = \"TEXT\"), \n structure(list(structure(list(structure(\"points.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" to add the fitted joinpoints. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"## See ?plot.segmented\\n\", Rd_tag = \"RCODE\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/lines.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/lines.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n plant (list) = structure(list(structure(list(structure(\" Plan organ dataset\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plant\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plant\", 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(\" The \", Rd_tag = \"TEXT\"), \n@@ -889,15 +889,15 @@\n structure(\" for each attribute and all attributes are measured at each time.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" The data have been kindly provided by Dr Zongjian Yang\\n\", Rd_tag = \"TEXT\"), \n structure(\" at School of Land, Crop and Food Sciences, The University of Queensland, Brisbane, Australia.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\source\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(\n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"data(plant)\\n\", Rd_tag = \"VERB\"), \n structure(\"attach(plant)\\n\", Rd_tag = \"VERB\"), structure(\"%lattice::xyplot(y~time,groups=group,pch=19,col=2:4,auto.key=list(space=\\\"right\\\"))\", Rd_tag = \"COMMENT\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"lattice::xyplot(y~time,groups=group,auto.key=list(space=\\\"right\\\"))\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/plant.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/plant.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n plot.segmented (list) = structure(list(structure(list(structure(\" Plot method for segmented objects \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"plot.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"plot.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1129,15 +1129,15 @@\n structure(\"## new plot\\n\", Rd_tag = \"RCODE\"), structure(\"plot(z,y)\\n\", Rd_tag = \"RCODE\"), \n structure(\"## add the fitted lines using different colors and styles..\\n\", Rd_tag = \"RCODE\"), \n structure(\"plot(o.seg,add=TRUE,link=FALSE,lwd=2,col=2:3, lty=c(1,3))\\n\", Rd_tag = \"RCODE\"), \n structure(\"lines(o.seg,col=2,pch=19,bottom=FALSE,lwd=2) #for the CI for the breakpoint\\n\", Rd_tag = \"RCODE\"), \n structure(\"points(o.seg,col=4, link=FALSE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"## using the options 'is', 'isV', 'shade' and 'col.shade'.\\n\", Rd_tag = \"RCODE\"), \n structure(\"par(mfrow=c(1,2))\\n\", Rd_tag = \"RCODE\"), structure(\"plot(o.seg, conf.level=.9, is=TRUE, isV=TRUE, col=1, shade = TRUE, col.shade=2)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"plot(o.seg, conf.level=.9, is=TRUE, isV=FALSE, col=2, shade = TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/plot.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"plot(o.seg, conf.level=.9, is=TRUE, isV=FALSE, col=2, shade = TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/plot.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n points.segmented (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Points method for segmented objects\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"points.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"points.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" nonlinear \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1210,15 +1210,15 @@\n structure(\" simply adds the fitted \\n\", Rd_tag = \"TEXT\"), \n structure(\"joinpoints on the current plot. This could be useful to emphasize the changes of the piecewise linear relationship. \\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"plot.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\" to plot the fitted segmented lines. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(list(\n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"#see examples in ?plot.segmented\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/points.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/points.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n predict.segmented (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Predict method for segmented model fits\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"predict.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"predict.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"models\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1293,15 +1293,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"n=10\\n\", Rd_tag = \"RCODE\"), \n structure(\"x=seq(-3,3,l=n)\\n\", Rd_tag = \"RCODE\"), structure(\"set.seed(1515)\\n\", Rd_tag = \"RCODE\"), \n structure(\"y <- (x<0)*x/2 + 1 + rnorm(x,sd=0.15)\\n\", Rd_tag = \"RCODE\"), \n structure(\"segm <- segmented(lm(y ~ x), ~ x, psi=0.5)\\n\", Rd_tag = \"RCODE\"), \n structure(\"predict(segm,se.fit = TRUE)$se.fit\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"#wrong (smaller) st.errors (assuming known the breakpoint)\\n\", Rd_tag = \"RCODE\"), \n structure(\"olm<-lm(y~x+pmax(x-segm$psi[,2],0))\\n\", Rd_tag = \"RCODE\"), \n- structure(\"predict(olm,se.fit = TRUE)$se.fit\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/predict.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"predict(olm,se.fit = TRUE)$se.fit\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/predict.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n print.segmented (list) = structure(list(structure(list(structure(\" Print method for the segmented class \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"print.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"print.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"coef.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" models \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -1335,15 +1335,15 @@\n list(structure(\" arguments passed to other functions \", Rd_tag = \"TEXT\"))), Rd_tag = \"\\\\item\"), \n structure(\"\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\arguments\"), \n structure(list(structure(\" Vito M.R. Muggeo \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(\" \", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"summary.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"print.summary.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n- structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/print.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/print.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n pscore.test (list) = structure(list(structure(list(structure(\" Testing for existence of one breakpoint\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"pscore.test\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"pscore.test\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" htest \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Given a (generalized) linear model, the (pseudo) Score statistic tests for the existence of one breakpoint.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\description\"), \n@@ -1510,15 +1510,15 @@\n structure(\"pscore.test(o,~z) #compare with davies.test(o,~z)..\\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"#use the segmented fit\\n\", Rd_tag = \"VERB\"), \n structure(\"os<-segmented(o, ~z)\\n\", Rd_tag = \"VERB\"), \n structure(\"pscore.test(os,~z) #smaller p-value, as it uses the dispersion under the alternative (from 'os') \\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"#test for the 2nd breakpoint in the variable z\\n\", Rd_tag = \"VERB\"), \n structure(\"pscore.test(os,~z, more.break=TRUE) \\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\" \", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/pscore.test.rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/pscore.test.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@@ -1787,15 +1787,15 @@\n structure(list(structure(\"Biometrics\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"57\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 240--244. \\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"\\n\", Rd_tag = \"RCODE\"), \n structure(\" #decrease the maximum number inner iterations and display the \\n\", Rd_tag = \"RCODE\"), \n structure(\" #evolution of the (outer) iterations\\n\", Rd_tag = \"RCODE\"), \n structure(\" #seg.control(display = TRUE, maxit.glm=4)\\n\", Rd_tag = \"RCODE\"), \n- structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/seg.control.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/seg.control.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n seg.lm.fit (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Fitter Functions for Segmented Linear Models\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"seg.lm.fit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"seg.lm.fit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"seg.glm.fit\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -1923,15 +1923,15 @@\n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"57\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 240--244. \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(list(\n structure(list(structure(\"segmented.lm\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(list(\n structure(\"segmented.glm\", 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(\"##See ?segmented\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/seg.lm.fit.Rd\", class = \"Rd\", meta = list(\n+ structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"##See ?segmented\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/seg.lm.fit.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n segmented (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Segmented relationships in regression models\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"segmented.lm\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n@@ -2302,15 +2302,15 @@\n structure(list(structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"library(survival)\\n\", Rd_tag = \"VERB\"), \n structure(\"data(stanford2)\\n\", Rd_tag = \"VERB\"), \n structure(\"\\n\", Rd_tag = \"VERB\"), structure(\"o<-coxph(Surv(time, status)~age, data=stanford2)\\n\", Rd_tag = \"VERB\"), \n structure(\"os<-segmented(o, ~age, psi=40) #estimate the breakpoint in the age effect\\n\", Rd_tag = \"VERB\"), \n structure(\"summary(os) #actually it means summary.coxph(os)\\n\", Rd_tag = \"VERB\"), \n structure(\"plot(os) #it does not work\\n\", Rd_tag = \"VERB\"), \n structure(\"plot.segmented(os) #call explicitly plot.segmented() to plot the fitted piecewise line\\n\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\dontrun\"), \n- structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\" \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\" \\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n segmented-package (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Segmented relationships in regression models with breakpoints / changepoints estimation\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"segmented-package\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"segmented-package\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -2409,15 +2409,15 @@\n structure(\" by bootstrap restarting. \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Biometrics\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"57\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\", 240--244. \\n\", Rd_tag = \"TEXT\"), structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Muggeo, V.M.R. (2010) Comment on `Estimating average annual per cent change in trend analysis' by Clegg et al., Statistics in Medicine; 28, 3670-3682. \\n\", Rd_tag = \"TEXT\"), \n structure(list(structure(\"Statistics in Medicine\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\", \", Rd_tag = \"TEXT\"), structure(list(structure(\"29\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n- structure(\", 1958--1960.\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/segmented-package.Rd\", class = \"Rd\", meta = list(\n+ structure(\", 1958--1960.\\n\", Rd_tag = \"TEXT\"), structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\references\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/segmented-package.Rd\", class = \"Rd\", meta = list(\n docType = \"package\"), prepared = 3L)\n \n selgmented (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Selecting number of breakpoints in segmented regression\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"selgmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"selgmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\"This function selects the number of breakpoints of the segmented relationship according to the BIC criterion or sequential hypothesis testing.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\description\"), \n@@ -2511,15 +2511,15 @@\n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"set.seed(12)\\n\", Rd_tag = \"RCODE\"), \n structure(\"xx<-1:100\\n\", Rd_tag = \"RCODE\"), structure(\"zz<-runif(100)\\n\", Rd_tag = \"RCODE\"), \n structure(\"yy<-2+1.5*pmax(xx-35,0)-1.5*pmax(xx-70,0)+15*pmax(zz-.5,0)+rnorm(100,0,2)\\n\", Rd_tag = \"RCODE\"), \n structure(\"dati<-data.frame(x=xx,y=yy,z=zz)\\n\", Rd_tag = \"RCODE\"), \n structure(\"out.lm<-lm(y~x,data=dati)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"os<-selgmented(out.lm) ## selects number of breakpoints via the Score test\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"os <-selgmented(out.lm, Kmax=3, type=\\\"bic\\\") #BIC-based selection\\n\", Rd_tag = \"RCODE\"), \n- structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/selgmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\" \", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/selgmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n slope (list) = structure(list(structure(list(structure(\" Slope estimates from segmented relationships \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"slope\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"slope\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n structure(list(structure(\" htest \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -2639,15 +2639,15 @@\n structure(\"out<-glm(y~1)\\n\", Rd_tag = \"RCODE\"), structure(\"out.seg<-segmented(out,seg.Z=~x,psi=list(x=c(20,80)))\\n\", Rd_tag = \"RCODE\"), \n structure(\"## the slopes of the three segments....\\n\", Rd_tag = \"RCODE\"), \n structure(\"slope(out.seg)\\n\", Rd_tag = \"RCODE\"), structure(\"rm(x,y,out,out.seg)\\n\", Rd_tag = \"RCODE\"), \n structure(\"#\\n\", Rd_tag = \"RCODE\"), structure(\"## an heteroscedastic example..\\n\", Rd_tag = \"RCODE\"), \n structure(\"set.seed(123)\\n\", Rd_tag = \"RCODE\"), structure(\"n<-100\\n\", Rd_tag = \"RCODE\"), \n structure(\"x<-1:n/n\\n\", Rd_tag = \"RCODE\"), structure(\"y<- -x+1.5*pmax(x-.5,0)+rnorm(n,0,1)*ifelse(x<=.5,.4,.1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"o<-lm(y~x)\\n\", Rd_tag = \"RCODE\"), structure(\"oseg<-segmented(o,seg.Z=~x,psi=.6)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"slope(oseg)\\n\", Rd_tag = \"RCODE\"), structure(\"slope(oseg,var.diff=TRUE) #better CI\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/slope.Rd\", class = \"Rd\", meta = list(\n+ structure(\"slope(oseg)\\n\", Rd_tag = \"RCODE\"), structure(\"slope(oseg,var.diff=TRUE) #better CI\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/slope.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n stagnant (list) = structure(list(structure(list(structure(\"Stagnant band height data\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"stagnant\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"stagnant\", 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(\" The \", Rd_tag = \"TEXT\"), \n@@ -2668,15 +2668,15 @@\n structure(\" of the behaviour of stagnant surface layer height in a controlled flow of water.\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\details\"), \n structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), structure(\" Bacon D.W., Watts D.G. (1971) Estimating the transistion between two intersecting straight lines.\\n\", Rd_tag = \"TEXT\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"Biometrika\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\emph\"), \n structure(\" \", Rd_tag = \"TEXT\"), structure(list(structure(\"58\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\bold\"), \n structure(\": 525 -- 534.\\n\", Rd_tag = \"TEXT\"), structure(\" \\n\", Rd_tag = \"TEXT\"), \n structure(\" Originally from the PhD thesis by R.A. Cook\\n\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\source\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"data(stagnant)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"## plot(stagnant)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/stagnant.Rd\", class = \"Rd\", meta = list(\n+ structure(\"## plot(stagnant)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/stagnant.Rd\", class = \"Rd\", meta = list(\n docType = \"data\"), prepared = 3L)\n \n summary.segmented (list) = structure(list(structure(list(structure(\" Summarizing model fits for segmented regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"summary.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"summary.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"print.summary.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\" regression \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -2842,15 +2842,15 @@\n structure(\" \", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"##continues example from segmented()\\n\", Rd_tag = \"RCODE\"), \n structure(\"# summary(segmented.model,short=TRUE)\\n\", Rd_tag = \"RCODE\"), \n structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"## an heteroscedastic example..\\n\", Rd_tag = \"RCODE\"), \n structure(\"# set.seed(123)\\n\", Rd_tag = \"RCODE\"), structure(\"# n<-100\\n\", Rd_tag = \"RCODE\"), \n structure(\"# x<-1:n/n\\n\", Rd_tag = \"RCODE\"), structure(\"# y<- -x+1.5*pmax(x-.5,0)+rnorm(n,0,1)*ifelse(x<=.5,.4,.1)\\n\", Rd_tag = \"RCODE\"), \n structure(\"# o<-lm(y~x)\\n\", Rd_tag = \"RCODE\"), structure(\"# oseg<-segmented(o,seg.Z=~x,psi=.6)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# summary(oseg,var.diff=TRUE)$sigma.new\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/summary.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# summary(oseg,var.diff=TRUE)$sigma.new\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/summary.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n vcov.segmented (list) = structure(list(structure(list(structure(\"\\n\", Rd_tag = \"TEXT\"), \n structure(\"Variance-Covariance Matrix for a Fitted Segmented Model\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\title\"), \n structure(list(structure(\"vcov.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\name\"), \n structure(list(structure(\"vcov.segmented\", Rd_tag = \"VERB\")), Rd_tag = \"\\\\alias\"), \n structure(list(structure(\"regression\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\keyword\"), \n@@ -2902,10 +2902,10 @@\n structure(list(structure(list(structure(\"var.diff=TRUE\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\code\"), \n structure(\" works when there is a single segmented variable.\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\note\"), \n structure(list(structure(\"Vito M. R. Muggeo, \", Rd_tag = \"TEXT\"), \n structure(list(structure(\"vito.muggeo@unipa.it\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\email\")), Rd_tag = \"\\\\author\"), \n structure(list(structure(list(structure(list(structure(\"summary.segmented\", Rd_tag = \"TEXT\")), Rd_tag = \"\\\\link\")), Rd_tag = \"\\\\code\")), Rd_tag = \"\\\\seealso\"), \n structure(list(structure(\"\\n\", Rd_tag = \"RCODE\"), structure(\"##continues example from summary.segmented()\\n\", Rd_tag = \"RCODE\"), \n structure(\"# vcov(oseg)\\n\", Rd_tag = \"RCODE\"), structure(\"# vcov(oseg, var.diff=TRUE)\\n\", Rd_tag = \"RCODE\"), \n- structure(\"# vcov(oseg, is=TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/1st/r-cran-segmented-1.3-2/man/vcov.segmented.Rd\", class = \"Rd\", meta = list(\n+ structure(\"# vcov(oseg, is=TRUE)\\n\", Rd_tag = \"RCODE\")), Rd_tag = \"\\\\examples\")), Rdfile = \"/build/2/r-cran-segmented-1.3-2/2nd/man/vcov.segmented.Rd\", class = \"Rd\", meta = list(\n docType = character(0)), prepared = 3L)\n \n"}]}, {"source1": "./usr/lib/R/site-library/segmented/help/segmented.rdx", "source2": "./usr/lib/R/site-library/segmented/help/segmented.rdx", "unified_diff": null, "details": [{"source1": "segmented.rdx-content", "source2": "segmented.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": "@@ -1,145 +1,145 @@\n $variables\n $variables$aapc\n-[1] 286 3823\n+[1] 287 3825\n \n $variables$broken.line\n-[1] 4401 4145\n+[1] 4405 4147\n \n $variables$confint.segmented\n-[1] 8835 5049\n+[1] 8843 5051\n \n $variables$davies.test\n-[1] 14177 6670\n+[1] 14188 6672\n \n $variables$down\n-[1] 21132 1658\n+[1] 21146 1660\n \n $variables$draw.history\n-[1] 23085 1732\n+[1] 23102 1734\n \n $variables$intercept\n-[1] 25106 3457\n+[1] 25126 3459\n \n $variables$lines.segmented\n-[1] 28849 3354\n+[1] 28873 3355\n \n $variables$plant\n-[1] 32490 1680\n+[1] 32517 1682\n \n $variables$plot.segmented\n-[1] 34459 7793\n+[1] 34490 7796\n \n $variables$points.segmented\n-[1] 42544 2742\n+[1] 42580 2744\n \n $variables$predict.segmented\n-[1] 45574 2962\n+[1] 45615 2964\n \n $variables$print.segmented\n-[1] 48824 1512\n+[1] 48870 1514\n \n $variables$pscore.test\n-[1] 50628 5882\n+[1] 50677 5883\n \n $variables$seg.control\n-[1] 56801 9014\n+[1] 56853 9016\n \n $variables$seg.lm.fit\n-[1] 66104 4346\n+[1] 66160 4350\n \n $variables$`segmented-package`\n-[1] 70740 4554\n+[1] 70803 4556\n \n $variables$segmented\n-[1] 75577 12287\n+[1] 75644 12290\n \n $variables$selgmented\n-[1] 88151 3774\n+[1] 88223 3776\n \n $variables$slope\n-[1] 92210 4705\n+[1] 92286 4708\n \n $variables$stagnant\n-[1] 97204 1396\n+[1] 97285 1398\n \n $variables$summary.segmented\n-[1] 98893 5556\n+[1] 98978 5558\n \n $variables$vcov.segmented\n-[1] 104739 2363\n+[1] 104827 2365\n \n \n $references\n $references$`env::1`\n-[1] 0 286\n+[1] 0 287\n \n $references$`env::10`\n-[1] 34170 289\n+[1] 34199 291\n \n $references$`env::11`\n-[1] 42252 292\n+[1] 42286 294\n \n $references$`env::12`\n-[1] 45286 288\n+[1] 45324 291\n \n $references$`env::13`\n-[1] 48536 288\n+[1] 48579 291\n \n $references$`env::14`\n-[1] 50336 292\n+[1] 50384 293\n \n $references$`env::15`\n-[1] 56510 291\n+[1] 56560 293\n \n $references$`env::16`\n-[1] 65815 289\n+[1] 65869 291\n \n $references$`env::17`\n-[1] 70450 290\n+[1] 70510 293\n \n $references$`env::18`\n-[1] 75294 283\n+[1] 75359 285\n \n $references$`env::19`\n-[1] 87864 287\n+[1] 87934 289\n \n $references$`env::2`\n-[1] 4109 292\n+[1] 4112 293\n \n $references$`env::20`\n-[1] 91925 285\n+[1] 91999 287\n \n $references$`env::21`\n-[1] 96915 289\n+[1] 96994 291\n \n $references$`env::22`\n-[1] 98600 293\n+[1] 98683 295\n \n $references$`env::23`\n-[1] 104449 290\n+[1] 104536 291\n \n $references$`env::3`\n-[1] 8546 289\n+[1] 8552 291\n \n $references$`env::4`\n-[1] 13884 293\n+[1] 13894 294\n \n $references$`env::5`\n-[1] 20847 285\n+[1] 20860 286\n \n $references$`env::6`\n-[1] 22790 295\n+[1] 22806 296\n \n $references$`env::7`\n-[1] 24817 289\n+[1] 24836 290\n \n $references$`env::8`\n-[1] 28563 286\n+[1] 28585 288\n \n $references$`env::9`\n-[1] 32203 287\n+[1] 32228 289\n \n \n $compressed\n [1] TRUE\n \n"}]}]}]}]}]}]}