{ "_id": "6a1edfbeb401979e7341068c", "Package": "nlreg", "Version": "1.2-4", "Date": "2025-05-22", "Title": "Higher Order Inference for Nonlinear Heteroscedastic Models", "Authors@R": "c(person(\"Alessandra R.\", \"Brazzale\", role = c(\"aut\", \"cre\"),\nemail = \"alessandra.brazzale@unipd.it\",\ncomment = \"author of original code for S, author of R port following earlier work by Douglas Bates\"))", "Maintainer": "Alessandra R. Brazzale ", "Description": "Implements likelihood inference based on higher order\napproximations for nonlinear models with possibly non constant\nvariance.", "License": "GPL (>= 2) | file LICENCE", "URL": "https://www.r-project.org", "LazyLoad": "yes", "LazyData": "yes", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 07:30:02 UTC", "User": "root" }, "Author": "Alessandra R. Brazzale [aut, cre] (author of original code for\nS, author of R port following earlier work by Douglas Bates)", "Repository": "https://arbrazzale.r-universe.dev", "Date/Publication": "2025-05-25 18:10:05 UTC", "RemoteUrl": "https://github.com/cran/nlreg", "RemoteRef": "HEAD", "RemoteSha": "ff8b090c00547c10334df53b339ae1599b02a868", "MD5sum": "3ce12f7cb4d147478bbc1cd7b44d4771", "_user": "arbrazzale", "_type": "src", "_file": "nlreg_1.2-4.tar.gz", "_fileid": "3ced2289ccd167261d09f3edec70c1742a36a59adb461a52ce33ce2712fa0125", "_filesize": 600306, "_sha256": "3ced2289ccd167261d09f3edec70c1742a36a59adb461a52ce33ce2712fa0125", "_created": "2026-05-20T07:30:02.000Z", "_published": "2026-06-02T13:50:54.740Z", "_distro": "noble", "_jobs": [ { "job": 79086513138, "time": 123, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7103861099" }, { "job": 79086513124, "time": 131, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7103863075" }, { "job": 79086513038, "time": 202, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7103875996" }, { "job": 79086512668, "time": 165, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7103868019" }, { "job": 79086512193, "time": 181, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7103818148" }, { "job": 79086511909, "time": 93, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7359609948" }, { "job": 79086513005, "time": 113, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7103856781" }, { "job": 79086513570, "time": 98, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7103852178" }, { "job": 79086513064, "time": 146, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7103867998" } ], "_buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/nlreg", "_commit": { "id": "ff8b090c00547c10334df53b339ae1599b02a868", "author": "Alessandra R. Brazzale ", "committer": "cran-robot ", "message": "version 1.2-4\n", "time": 1748196605 }, "_maintainer": { "name": "Alessandra R. Brazzale", "email": "alessandra.brazzale@unipd.it", "login": "arbrazzale", "description": "", "uuid": 163353236 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "statmod", "role": "Depends" }, { "package": "survival", "role": "Depends" }, { "package": "boot", "role": "Suggests" }, { "package": "cond", "role": "Suggests" }, { "package": "csampling", "role": "Suggests" }, { "package": "marg", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-21", "n": 1 } ], "_tags": [ { "name": "1.2-4", "date": "2025-05-25" } ], "_stars": 0, "_contributors": [ { "user": "arbrazzale", "count": 5, "uuid": 163353236 } ], "_userbio": { "uuid": 163353236, "type": "user", "name": "arbrazzale" }, "_downloads": { "count": 649, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/nlreg" }, "_searchresults": 48, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/nlreg.html", "manual.pdf" ], "_realowner": "arbrazzale", "_cranurl": false, "_releases": [ { "version": "1.1-3", "date": "2009-09-24" }, { "version": "1.2-0", "date": "2009-10-05" }, { "version": "1.2-1", "date": "2011-11-25" }, { "version": "1.2-2", "date": "2014-04-03" }, { "version": "1.2-2.1", "date": "2018-04-16" }, { "version": "1.2-2.2", "date": "2019-01-30" }, { "version": "1.2-4", "date": "2025-05-27" } ], "_exports": [ "allProfiles", "allProfiles.nlreg", "coef.nlreg", "contour.all.nlreg.profiles", "Dmean", "Dvar", "expInfo", "expInfo.nlreg", "fitted.nlreg", "logLik.nlreg", "mpl", "mpl.nlreg", "nlreg", "nlreg.diag", "nlreg.diag.plots", "obsInfo", "obsInfo.nlreg", "param", "param.nlreg", "plot.all.nlreg.profiles", "plot.nlreg.contours", "plot.nlreg.diag", "plot.nlreg.profile", "print.all.nlreg.profiles", "print.mpl", "print.nlreg", "print.nlreg.contours", "print.nlreg.profile", "print.summary.all.nlreg.profiles", "print.summary.mpl", "print.summary.nlreg", "print.summary.nlreg.profile", "profile.nlreg", "qhat.nlreg", "resid.nlreg", "residuals.nlreg", "Shat.nlreg", "summary.all.nlreg.profiles", "summary.mpl", "summary.nlreg", "summary.nlreg.profile", "theta.deriv", "var2cor", "var2cor.mpl", "var2cor.nlreg", "var2cor.summary.mpl", "var2cor.summary.nlreg" ], "_datasets": [ { "name": "C1", "title": "Six Herbicide Data Sets", "object": "C1", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 42, "table": true, "tojson": true }, { "name": "C2", "title": "Six Herbicide Data Sets", "object": "C2", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 49, "table": true, "tojson": true }, { "name": "C3", "title": "Six Herbicide Data Sets", "object": "C3", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 51, "table": true, "tojson": true }, { "name": "C4", "title": "Six Herbicide Data Sets", "object": "C4", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 50, "table": true, "tojson": true }, { "name": "chlorsulfuron", "title": "Chlorsulfuron Data", "object": "chlorsulfuron", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 51, "table": true, "tojson": true }, { "name": "daphnia", "title": "'Daphnia Magna' Data", "object": "daphnia", "class": [ "data.frame" ], "fields": [ "conc", "time" ], "rows": 136, "table": true, "tojson": true }, { "name": "helicopter", "title": "Helicopter Data", "object": "helicopter", "class": [ "data.frame" ], "fields": [ "L", "W", "B", "H", "Order", "Time" ], "rows": 9, "table": true, "tojson": true }, { "name": "M2", "title": "Six Herbicide Data Sets", "object": "M2", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 40, "table": true, "tojson": true }, { "name": "M4", "title": "Six Herbicide Data Sets", "object": "M4", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 72, "table": true, "tojson": true }, { "name": "metsulfuron", "title": "Metsulfuron Methyl Data", "object": "metsulfuron", "class": [ "data.frame" ], "fields": [ "group", "dose", "area" ], "rows": 40, "table": true, "tojson": true }, { "name": "ria", "title": "Radioimmunoassay Data", "object": "ria", "class": [ "data.frame" ], "fields": [ "conc", "count" ], "rows": 16, "table": true, "tojson": true } ], "_help": [ { "page": "nlreg-package", "title": "Higher Order Inference for Nonlinear Heteroscedastic Models", "topics": [ "nlreg-package" ] }, { "page": "C1", "title": "Six Herbicide Data Sets", "topics": [ "C1", "C2", "C3", "C4", "M2", "M4" ] }, { "page": "chlorsulfuron", "title": "Chlorsulfuron Data", "topics": [ "chlorsulfuron" ] }, { "page": "contour.all.nlreg.profiles", "title": "Contour Method for `nlreg' Objects", "topics": [ "contour.all.nlreg.profiles" ] }, { "page": "daphnia", "title": "`Daphnia Magna' Data", "topics": [ "daphnia" ] }, { "page": "Dmean", "title": "Differentiate the Mean Function of a Nonlinear Model", "topics": [ "Dmean" ] }, { "page": "Dvar", "title": "Differentiate the Variance Function of a Nonlinear Model", "topics": [ "Dvar" ] }, { "page": "expInfo", "title": "Returns the Expected Information Matrix - Generic Function", "topics": [ "expInfo" ] }, { "page": "expInfo.nlreg", "title": "Expected Information Matrix for `nlreg' Objects", "topics": [ "expInfo.nlreg" ] }, { "page": "helicopter", "title": "Helicopter Data", "topics": [ "helicopter" ] }, { "page": "logLik.nlreg", "title": "Compute the Log Likelihood for Nonlinear Heteroscedastic Models", "topics": [ "logLik.nlreg" ] }, { "page": "metsulfuron", "title": "Metsulfuron Methyl Data", "topics": [ "metsulfuron" ] }, { "page": "mpl", "title": "Maximum Adjusted Profile Likelihood Estimation - Generic Function", "topics": [ "mpl" ] }, { "page": "mpl.nlreg", "title": "Maximum Adjusted Profile Likelihood Estimates for a `nlreg' Object", "topics": [ "mpl.nlreg" ] }, { "page": "mpl.object", "title": "Maximum Adjusted Profile Likelihood Object", "topics": [ "mpl.object" ] }, { "page": "nlreg", "title": "Fit a Nonlinear Heteroscedastic Model via Maximum Likelihood", "topics": [ "nlreg" ] }, { "page": "nlreg.diag", "title": "Nonlinear Heteroscedastic Model Diagnostics", "topics": [ "nlreg.diag" ] }, { "page": "nlreg.object", "title": "Nonlinear Heteroscedastic Model Object", "topics": [ "nlreg.object" ] }, { "page": "obsInfo", "title": "Returns the Observed Information Matrix - Generic Function", "topics": [ "obsInfo" ] }, { "page": "obsInfo.nlreg", "title": "Observed Information Matrix for `nlreg' Objects", "topics": [ "obsInfo.nlreg" ] }, { "page": "param", "title": "Extract All Parameters from a Model - Generic Function", "topics": [ "param" ] }, { "page": "plot.nlreg.contours", "title": "Use plot() on a `nlreg.contours' object", "topics": [ "plot.nlreg.contours" ] }, { "page": "plot.nlreg.diag", "title": "Diagnostic Plots for Nonlinear Heteroscedastic Models", "topics": [ "nlreg.diag.plots", "plot.nlreg.diag" ] }, { "page": "plot.nlreg.profiles", "title": "Use plot() on a `profile.nlreg' and `all.profiles.nlreg' object", "topics": [ "plot.all.nlreg.profiles", "plot.nlreg.profile" ] }, { "page": "profile.nlreg", "title": "Profile Method for `nlreg' Objects", "topics": [ "profile.nlreg" ] }, { "page": "ria", "title": "Radioimmunoassay Data", "topics": [ "ria" ] }, { "page": "summary.all.nlreg.profiles", "title": "Summary Method for Objects of Class `all.nlreg.profiles'", "topics": [ "summary.all.nlreg.profiles" ] }, { "page": "summary.mpl", "title": "Summary Method for `mpl' Objects", "topics": [ "summary.mpl" ] }, { "page": "summary.nlreg", "title": "Summary Method for Nonlinear Heteroscedastic Models", "topics": [ "summary.nlreg" ] }, { "page": "summary.nlreg.profile", "title": "Summary Method for Objects of Class `nlreg.profile'", "topics": [ "summary.nlreg.profile" ] }, { "page": "var2cor", "title": "Convert Covariance Matrix to Correlation Matrix - Generic Function", "topics": [ "var2cor" ] } ], "_rundeps": [ "lattice", "Matrix", "statmod", "survival" ], "_score": 1.6812412373755872, "_indexed": true, "_nocasepkg": "nlreg", "_universes": [ "arbrazzale" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2-4", "date": "2026-05-20T07:31:53.000Z", "distro": "noble", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "0394684f15aa7044ed884e4d1a80379220d9941fae2fe06de53f68de696651e5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.6.0", "os": "linux", "version": "1.2-4", "date": "2026-05-20T07:32:02.000Z", "distro": "noble", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "269f9aef8c5ae12055b436c1f6a5826108475d05358474114ed7682240efda3b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.5.3", "os": "mac", "version": "1.2-4", "date": "2026-05-20T07:32:47.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "c117e625f2d2c6b10f6d3e7fa7ef3e9ecd8b2e9586cc7e41d7c9d495d1c2caa5", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.6.0", "os": "mac", "version": "1.2-4", "date": "2026-05-20T07:32:27.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "0d246e9903bcc3ff55056f7adfb416e9f7858a080b71941d9f1ad273fed2c517", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.7.0", "os": "win", "version": "1.2-4", "date": "2026-05-20T07:31:32.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "224f6cb304ecafe01579b3e5b36e74b444230d60d42d3ae38c4802cf0207596a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.5.3", "os": "win", "version": "1.2-4", "date": "2026-05-20T07:31:19.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "2f01494ec984eda2acdf63c4c12802183cc0a4539b430f7881c8093c5b1d15ed", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.6.0", "os": "win", "version": "1.2-4", "date": "2026-05-20T07:32:02.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "4406ec94b2101cd91ef6d799a362d164168558216007d2b1a734e2452fcd74e8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" }, { "r": "4.6.0", "os": "wasm", "version": "1.2-4", "date": "2026-06-02T13:50:34.000Z", "commit": "ff8b090c00547c10334df53b339ae1599b02a868", "fileid": "9fd0dc346bb3391215318bf20e9d27e42e76ae10de410d23d3c0dd7d06321f6f", "status": "success", "buildurl": "https://github.com/r-universe/arbrazzale/actions/runs/26147977662" } ] }