{ "_id": "6a1066ccacfb0bcc41ca8fe1", "Package": "dr4pl", "Type": "Package", "Date": "2021-08-16", "Title": "Dose Response Data Analysis using the 4 Parameter Logistic (4pl)\nModel", "Version": "2.0.0", "Authors@R": "c(person(\"Justin T.\", \"Landis\", role = c(\"aut\", \"cre\"), email = \"jtlandis314@gmail.com\"),\nperson(\"Alice\", \"Peng\", role = \"ctb\", email = \"alice98@live.unc.edu\"),\nperson(\"Hyowon\", \"An\", role = \"aut\", email = \"ahwbest@gmail.com\"),\nperson(\"Aubrey G.\", \"Bailey\", role = \"aut\", email = \"aubreybailey@gmail.com\"),\nperson(\"Dirk P.\", \"Dittmer\", role = \"aut\", email = \"dirk_dittmer@med.unc.edu\"),\nperson(\"James S.\", \"Marron\", role = \"aut\", email = \"marron@unc.edu\"))", "Description": "Models the relationship between dose levels and responses\nin a pharmacological experiment using the 4 Parameter Logistic\nmodel. Traditional packages on dose-response modelling such as\n'drc' and 'nplr' often draw errors due to convergence failure\nespecially when data have outliers or non-logistic shapes. This\npackage provides robust estimation methods that are less\naffected by outliers and other initialization methods that work\nwell for data lacking logistic shapes. We provide the bounds on\nthe parameters of the 4PL model that prevent parameter\nestimates from diverging or converging to zero and base their\njustification in a statistical principle. These methods are\nused as remedies to convergence failure problems. Gadagkar, S.\nR. and Call, G. B. (2015) \nRitz, C. and Baty, F. and Streibig, J. C. and Gerhard, D.\n(2015) .", "License": "GPL (>= 2)", "LazyData": "TRUE", "URL": "https://bitbucket.org/dittmerlab/dr4pl", "BugReports": "https://bitbucket.org/dittmerlab/dr4pl/issues?status=new&status=open", "RdMacros": "Rdpack", "RoxygenNote": "7.1.1", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Repository": "https://jtlandis.r-universe.dev", "Date/Publication": "2022-07-25 16:37:18 UTC", "RemoteUrl": "https://bitbucket.org/dittmerlab/dr4pl", "RemoteRef": "HEAD", "RemoteSha": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-08 05:53:37 UTC", "User": "root" }, "Author": "Justin T. Landis [aut, cre],\nAlice Peng [ctb],\nHyowon An [aut],\nAubrey G. Bailey [aut],\nDirk P. Dittmer [aut],\nJames S. Marron [aut]", "Maintainer": "Justin T. Landis ", "MD5sum": "08724e730af26c235f70860b98e2fedb", "_user": "jtlandis", "_type": "src", "_file": "dr4pl_2.0.0.tar.gz", "_fileid": "8ad4171d0b86dde2cbc709ebca793cb2f2d34b597d6eaa6be551f5d43c0ce5d2", "_filesize": 289086, "_sha256": "8ad4171d0b86dde2cbc709ebca793cb2f2d34b597d6eaa6be551f5d43c0ce5d2", "_created": "2026-05-08T05:53:37.000Z", "_published": "2026-05-22T14:23:08.187Z", "_distro": "noble", "_jobs": [ { "job": 77398869298, "time": 188, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "6872801780" }, { "job": 77398869154, "time": 169, "config": "linux-release-x86_64", "r": "4.6.0", "check": "ERROR", "artifact": "6872796939" }, { "job": 77398869357, "time": 175, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "ERROR", "artifact": "6872798227" }, { "job": 77398869157, "time": 175, "config": "macos-release-arm64", "r": "4.6.0", "check": "ERROR", "artifact": "6872798274" }, { "job": 77398868794, "time": 251, "config": "source", "r": "4.6.0", "check": "ERROR", "artifact": "6872761761" }, { "job": 77398868298, "time": 134, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7162836951" }, { "job": 77398868810, "time": 132, "config": "windows-devel", "r": "4.7.0", "check": "ERROR", "artifact": "6872789837" }, { "job": 77398869682, "time": 109, "config": "windows-oldrel", "r": "4.5.3", "check": "ERROR", "artifact": "6872784375" }, { "job": 77398869093, "time": 117, "config": "windows-release", "r": "4.6.0", "check": "ERROR", "artifact": "6872786122" } ], "_buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976", "_status": "failure", "_host": "GitHub-Actions", "_upstream": "https://bitbucket.org/dittmerlab/dr4pl", "_commit": { "id": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "author": "Justin Landis ", "committer": "Justin Landis ", "message": "Merge branch 'Releases'\n", "time": 1658767038 }, "_maintainer": { "name": "Justin T. Landis", "email": "jtlandis314@gmail.com", "login": "jtlandis", "uuid": 30324172 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.1.0", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "tensor", "role": "Imports" }, { "package": "Rdpack", "role": "Imports" }, { "package": "generics", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "drc", "role": "Suggests" }, { "package": "devtools", "role": "Suggests" }, { "package": "roxygen2", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" } ], "_owner": "bitbucket-dittmerlab", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_userbio": { "uuid": 30324172, "type": "user", "name": "Justin Landis", "description": "Data scientist at the University of North Carolina at Chapel Hill || R developer " }, "_downloads": { "count": 452, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dr4pl" }, "_mentions": 2, "_devurl": "https://bitbucket.org/dittmerlab/dr4pl", "_searchresults": 102, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/dr4pl.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://bitbucket.org/dittmerlab/dr4pl", "_realowner": "jtlandis", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2017-10-22" }, { "version": "1.1.1", "date": "2018-03-21" }, { "version": "1.1.6", "date": "2018-08-24" }, { "version": "1.1.7.1", "date": "2018-09-13" }, { "version": "1.1.7.4", "date": "2018-12-03" }, { "version": "1.1.7.5", "date": "2019-01-28" }, { "version": "1.1.8", "date": "2019-02-24" }, { "version": "1.1.11", "date": "2019-10-07" }, { "version": "2.0.0", "date": "2021-08-17" } ], "_exports": [ "augment", "calculate", "dr4pl", "dr4pl_theta", "FindHillBounds", "FindInitialParms", "FindLogisticGrids", "gof", "IC", "LogToParm", "MeanResponse", "OutlierDetection", "ParmToLog" ], "_datasets": [ { "name": "drc_error_1", "title": "Single High Outlier", "object": "drc_error_1", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 162, "table": true, "tojson": true }, { "name": "drc_error_2", "title": "Multiple High Outliers at Different measurements", "object": "drc_error_2", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 10, "table": true, "tojson": true }, { "name": "drc_error_3", "title": "Support Problem and Outliers at a Single Dose Level", "object": "drc_error_3", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 132, "table": true, "tojson": true }, { "name": "drc_error_4", "title": "Support Problem", "object": "drc_error_4", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 132, "table": true, "tojson": true }, { "name": "sample_data_1", "title": "sample_data_1", "object": "sample_data_1", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_10", "title": "sample_data_10", "object": "sample_data_10", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 12, "table": true, "tojson": true }, { "name": "sample_data_11", "title": "sample_data_11", "object": "sample_data_11", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 12, "table": true, "tojson": true }, { "name": "sample_data_12", "title": "sample_data_12", "object": "sample_data_12", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 12, "table": true, "tojson": true }, { "name": "sample_data_13", "title": "sample_data_13", "object": "sample_data_13", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 12, "table": true, "tojson": true }, { "name": "sample_data_2", "title": "sample_data_2", "object": "sample_data_2", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_3", "title": "sample_data_3", "object": "sample_data_3", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_4", "title": "sample_data_4", "object": "sample_data_4", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_5", "title": "sample_data_5", "object": "sample_data_5", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_6", "title": "sample_data_6", "object": "sample_data_6", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_7", "title": "sample_data_7", "object": "sample_data_7", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_8", "title": "sample_data_8", "object": "sample_data_8", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 40, "table": true, "tojson": true }, { "name": "sample_data_9", "title": "sample_data_9", "object": "sample_data_9", "class": [ "data.frame" ], "fields": [ "Dose", "Response" ], "rows": 12, "table": true, "tojson": true } ], "_help": [ { "page": "coef.dr4pl", "title": "Obtain coefficients of a 4PL model", "topics": [ "coef.dr4pl" ] }, { "page": "confint.dr4pl", "title": "Fit a 4 parameter logistic (4PL) model to dose-response data.", "topics": [ "confint.dr4pl" ] }, { "page": "dr4pl", "title": "Fitting 4 Parameter Logistic (4PL) models to dose-response data.", "topics": [ "dr4pl", "dr4pl.data.frame", "dr4pl.default", "dr4pl.formula" ] }, { "page": "dr4plEst", "title": "Private function to fit the 4PL model to dose-response data", "topics": [ "dr4plEst" ] }, { "page": "drc_error_1", "title": "Single High Outlier", "topics": [ "drc_error_1" ] }, { "page": "drc_error_2", "title": "Multiple High Outliers at Different measurements", "topics": [ "drc_error_2" ] }, { "page": "drc_error_3", "title": "Support Problem and Outliers at a Single Dose Level", "topics": [ "drc_error_3" ] }, { "page": "drc_error_4", "title": "Support Problem", "topics": [ "drc_error_4" ] }, { "page": "FindHillBounds", "title": "FindHillBounds", "topics": [ "FindHillBounds" ] }, { "page": "FindInitialParms", "title": "FindInitialParms", "topics": [ "FindInitialParms" ] }, { "page": "FindLogisticGrids", "title": "FindLogisticGrids", "topics": [ "FindLogisticGrids" ] }, { "page": "IC", "title": "Obtain Inhibitory Concentrations (IC) of a dose-response curve", "topics": [ "IC" ] }, { "page": "MeanResponse", "title": "Compute an estimated mean response.", "topics": [ "MeanResponse", "MeanResponse.dr4pl", "MeanResponse.dr4pl_log10", "MeanResponse.dr4pl_theta", "MeanResponse.numeric" ] }, { "page": "OutlierDetection", "title": "Detect outliers by the method of Motulsky and Brown (2006).", "topics": [ "OutlierDetection" ] }, { "page": "plot.dr4pl", "title": "Make a plot of a 4PL model curve and data", "topics": [ "plot.dr4pl" ] }, { "page": "print.dr4pl", "title": "Print the dr4pl object to screen.", "topics": [ "print.dr4pl" ] }, { "page": "print.summary.dr4pl", "title": "Print the dr4pl object summary to screen.", "topics": [ "print.summary.dr4pl" ] }, { "page": "sample_data_1", "title": "sample_data_1", "topics": [ "sample_data_1" ] }, { "page": "sample_data_10", "title": "sample_data_10", "topics": [ "sample_data_10" ] }, { "page": "sample_data_11", "title": "sample_data_11", "topics": [ "sample_data_11" ] }, { "page": "sample_data_12", "title": "sample_data_12", "topics": [ "sample_data_12" ] }, { "page": "sample_data_13", "title": "sample_data_13", "topics": [ "sample_data_13" ] }, { "page": "sample_data_2", "title": "sample_data_2", "topics": [ "sample_data_2" ] }, { "page": "sample_data_3", "title": "sample_data_3", "topics": [ "sample_data_3" ] }, { "page": "sample_data_4", "title": "sample_data_4", "topics": [ "sample_data_4" ] }, { "page": "sample_data_5", "title": "sample_data_5", "topics": [ "sample_data_5" ] }, { "page": "sample_data_6", "title": "sample_data_6", "topics": [ "sample_data_6" ] }, { "page": "sample_data_7", "title": "sample_data_7", "topics": [ "sample_data_7" ] }, { "page": "sample_data_8", "title": "sample_data_8", "topics": [ "sample_data_8" ] }, { "page": "sample_data_9", "title": "sample_data_9", "topics": [ "sample_data_9" ] }, { "page": "summary.dr4pl", "title": "summary", "topics": [ "summary.dr4pl" ] }, { "page": "vcov.dr4pl", "title": "Obtain the variance-covariance matrix of the parameter estimators of a 4PL model.", "topics": [ "vcov.dr4pl", "vcov.dr4pl_param" ] } ], "_readme": "https://bitbucket.org/dittmerlab/dr4pl/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lattice", "lifecycle", "Matrix", "R6", "rbibutils", "RColorBrewer", "Rdpack", "rlang", "S7", "scales", "tensor", "vctrs", "viridisLite", "withr" ], "_score": 4.008600171761917, "_indexed": true, "_nocasepkg": "dr4pl", "_universes": [ "jtlandis", "bitbucket-dittmerlab" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.0.0", "date": "2026-05-08T05:56:24.000Z", "distro": "noble", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "12305c7860666d41e12957d2d9ac9ce3c759b2c1ca30008e3da8771ebf90e9e7", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.6.0", "os": "linux", "version": "2.0.0", "date": "2026-05-08T05:56:07.000Z", "distro": "noble", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "319bf9f5eebe5ebaf6e28331397e137a949583e5c4cf2f01db2fe44bbc6e4479", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.5.3", "os": "mac", "version": "2.0.0", "date": "2026-05-08T05:56:20.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "f6119124933b23d02d0852d93a26654149191f977199beb9bbff4ea69ae91ebe", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.6.0", "os": "mac", "version": "2.0.0", "date": "2026-05-08T05:56:14.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "5d2096bddef153f273bb702eb328f6ab8e0a1a16c1f89a1276611ecb38011ff3", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.7.0", "os": "win", "version": "2.0.0", "date": "2026-05-08T05:55:23.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "82b4929adfe8ea6980dd0c2293c6c30522859b033840f461f44bb7ecc1caff89", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.5.3", "os": "win", "version": "2.0.0", "date": "2026-05-08T05:54:59.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "051905d6f97a5cfbadd1eb1ee40dd1e283190e9e255c4163b5e380f47d4598f0", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.6.0", "os": "win", "version": "2.0.0", "date": "2026-05-08T05:55:08.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "cb7b65486b4fbd0e067c8a68f517c82f4fe17cbe387aae3e8e27c2a2ad498ef6", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" }, { "r": "4.6.0", "os": "wasm", "version": "2.0.0", "date": "2026-05-22T14:22:47.000Z", "commit": "61ee4c674011b7be06bdbbdb3cf921d9f7adbdbb", "fileid": "6492a7d463f109c68a3a348f5fbf332ca299907c6b8e4b444ef8933c209390dc", "status": "success", "buildurl": "https://github.com/r-universe/jtlandis/actions/runs/25539337976" } ] }