{ "_id": "6a2b29b3578398594318a0a0", "Package": "ggRandomForests", "Type": "Package", "Title": "Visually Exploring Random Forests", "Version": "3.1.0", "Date": "2026-06-10", "Authors@R": "person(\"John\", \"Ehrlinger\",\nrole = c(\"aut\", \"cre\"),\nemail = \"john.ehrlinger@gmail.com\")", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "URL": "https://github.com/ehrlinger/ggRandomForests,\nhttps://ehrlinger.github.io/ggRandomForests/", "BugReports": "https://github.com/ehrlinger/ggRandomForests/issues", "Description": "Graphic elements for exploring Random Forests using the\n'randomForest' or 'randomForestSRC' package for survival,\nregression and classification forests and 'ggplot2' package\nplotting. Implements visualisations of the methods described in\nBreiman (2001) and Ishwaran,\nKogalur, Blackstone, and Lauer (2008) .", "VignetteBuilder": "quarto", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-11 21:28:17 UTC", "User": "root" }, "Author": "John Ehrlinger [aut, cre]", "Maintainer": "John Ehrlinger ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-11 16:00:02 UTC", "RemoteUrl": "https://github.com/cran/ggRandomForests", "RemoteRef": "HEAD", "RemoteSha": "52ba2d347d9e3c84b1e0aa2a05f6dee057fa85a0", "MD5sum": "d72d7c05717a4d3acaabb3c53db77fdb", "_user": "cran", "_type": "src", "_file": "ggRandomForests_3.1.0.tar.gz", "_fileid": "09fc844e5ba30936eea9b417c8448a2f42ac72aca10af2c4ea27f0c974b5bde0", "_filesize": 3993961, "_sha256": "09fc844e5ba30936eea9b417c8448a2f42ac72aca10af2c4ea27f0c974b5bde0", "_created": "2026-06-11T21:28:17.000Z", "_published": "2026-06-11T21:33:39.385Z", "_distro": "noble", "_jobs": [ { "job": 80909225406, "time": 275, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7577406215" }, { "job": 80909225402, "time": 263, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7577402605" }, { "job": 80908072382, "time": 400, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7577312922" }, { "job": 80909225385, "time": 148, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7577362332" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/27378233292", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/ggRandomForests", "_commit": { "id": "52ba2d347d9e3c84b1e0aa2a05f6dee057fa85a0", "author": "John Ehrlinger ", "committer": "cran-robot ", "message": "version 3.1.0\n", "time": 1781193602 }, "_maintainer": { "name": "John Ehrlinger", "email": "john.ehrlinger@gmail.com", "login": "ehrlinger", "bluesky": "@ehrlinger.bsky.social", "linkedin": "in/ehrlinger", "twitter": "@johnehrlinger", "description": "Working Data Scientist. Statistician applying statistical machine learning. Mechanical Engineer Fluid Mechanics and Dynamics. Physics nerd.\n\n", "uuid": 1110676 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.4.0", "role": "Depends" }, { "package": "randomForestSRC", "version": ">= 3.4.0", "role": "Imports" }, { "package": "randomForest", "role": "Imports" }, { "package": "varPro", "role": "Imports" }, { "package": "igraph", "role": "Imports" }, { "package": "survival", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "patchwork", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "bookdown", "role": "Suggests" }, { "package": "RColorBrewer", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "lintr", "role": "Suggests" }, { "package": "covr", "role": "Suggests" }, { "package": "vdiffr", "role": "Suggests" }, { "package": "datasets", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "quarto", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "pkgload", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "ggraph", "role": "Suggests" }, { "package": "callr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-18", "n": 1 }, { "week": "2026-20", "n": 1 }, { "week": "2026-24", "n": 1 } ], "_tags": [ { "name": "2.7.2", "date": "2026-05-02" }, { "name": "2.7.3", "date": "2026-05-12" }, { "name": "3.1.0", "date": "2026-06-11" } ], "_stars": 0, "_contributors": [ { "user": "ehrlinger", "count": 16, "uuid": 1110676 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 957, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ggRandomForests" }, "_mentions": 16, "_devurl": "https://github.com/ehrlinger/ggrandomforests", "_pkgdown": "https://ehrlinger.github.io/ggRandomForests/", "_searchresults": 244, "_quarto": true, "_topics": [ "quarto" ], "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ggRandomForests.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE", "manual.pdf" ], "_homeurl": "https://github.com/ehrlinger/ggrandomforests", "_realowner": "ehrlinger", "_cranurl": false, "_releases": [ { "version": "1.0.0", "date": "2014-10-15" }, { "version": "1.1.0", "date": "2014-12-05" }, { "version": "1.1.1", "date": "2014-12-12" }, { "version": "1.1.2", "date": "2014-12-25" }, { "version": "1.1.3", "date": "2015-01-08" }, { "version": "1.1.4", "date": "2015-03-29" }, { "version": "1.2.0", "date": "2015-11-15" }, { "version": "1.2.1", "date": "2015-12-12" }, { "version": "2.0.0", "date": "2016-06-11" }, { "version": "2.0.1", "date": "2016-09-07" }, { "version": "2.1.0", "date": "2022-04-26" }, { "version": "2.2.0", "date": "2022-05-09" }, { "version": "2.2.1", "date": "2022-09-01" }, { "version": "2.7.2", "date": "2026-05-02" }, { "version": "2.7.3", "date": "2026-05-12" }, { "version": "3.1.0", "date": "2026-06-11" } ], "_exports": [ "calc_auc", "calc_roc", "gg_beta_varpro", "gg_brier", "gg_error", "gg_isopro", "gg_ivarpro", "gg_partial", "gg_partial_rfsrc", "gg_partial_varpro", "gg_partialpro", "gg_rfsrc", "gg_roc", "gg_survival", "gg_udependent", "gg_variable", "gg_varpro", "gg_vimp", "kaplan", "nelson", "quantile_pts", "surv_partial.rfsrc", "varpro_feature_names" ], "_help": [ { "page": "ggRandomForests-package", "title": "ggRandomForests: Visually Exploring Random Forests", "topics": [ "ggRandomForests-package" ] }, { "page": "autoplot.gg", "title": "'autoplot' methods for 'ggRandomForests' data objects", "topics": [ "autoplot.gg", "autoplot.gg_brier", "autoplot.gg_error", "autoplot.gg_isopro", "autoplot.gg_partial", "autoplot.gg_partialpro", "autoplot.gg_partial_rfsrc", "autoplot.gg_partial_varpro", "autoplot.gg_rfsrc", "autoplot.gg_roc", "autoplot.gg_survival", "autoplot.gg_udependent", "autoplot.gg_variable", "autoplot.gg_varpro", "autoplot.gg_vimp" ] }, { "page": "calc_auc", "title": "Area Under the ROC Curve calculator", "topics": [ "calc_auc", "calc_auc.gg_roc" ] }, { "page": "calc_roc.rfsrc", "title": "Receiver Operator Characteristic calculator", "topics": [ "calc_roc", "calc_roc.randomForest", "calc_roc.rfsrc" ] }, { "page": "gg_beta_varpro", "title": "Per-variable lasso-beta importance from a varPro fit", "topics": [ "gg_beta_varpro" ] }, { "page": "gg_brier", "title": "Brier score and CRPS for survival forests", "topics": [ "gg_brier" ] }, { "page": "gg_error", "title": "Random forest error trajectory data object", "topics": [ "gg_error", "gg_error.randomForest", "gg_error.randomForest.formula", "gg_error.rfsrc" ] }, { "page": "gg_isopro", "title": "Tidy data from a varPro isolation-forest fit", "topics": [ "gg_isopro" ] }, { "page": "gg_ivarpro", "title": "Individual (local) variable importance from a varPro fit", "topics": [ "gg_ivarpro" ] }, { "page": "gg_partial", "title": "Split partial dependence data into continuous or categorical datasets", "topics": [ "gg_partial" ] }, { "page": "gg_partial_rfsrc", "title": "Partial dependence data from an rfsrc model", "topics": [ "gg_partial_rfsrc" ] }, { "page": "gg_partial_varpro", "title": "Partial dependence data from a varPro model", "topics": [ "gg_partialpro", "gg_partial_varpro" ] }, { "page": "gg_rfsrc.rfsrc", "title": "Predicted response data object", "topics": [ "gg_rfsrc", "gg_rfsrc.rfsrc" ] }, { "page": "gg_roc.rfsrc", "title": "ROC (Receiver Operating Characteristic) curve data from a classification forest.", "topics": [ "gg_roc", "gg_roc.randomForest", "gg_roc.rfsrc" ] }, { "page": "gg_survival", "title": "Nonparametric survival estimates.", "topics": [ "gg_survival", "gg_survival.default", "gg_survival.rfsrc" ] }, { "page": "gg_udependent", "title": "Variable dependency graph from a uvarpro model", "topics": [ "gg_udependent" ] }, { "page": "gg_variable", "title": "Marginal variable dependence data object.", "topics": [ "gg_variable", "gg_variable.random", "gg_variable.randomForest", "gg_variable.rfsrc" ] }, { "page": "gg_varpro", "title": "Variable importance data from a varPro model", "topics": [ "gg_varpro" ] }, { "page": "gg_vimp", "title": "Variable Importance (VIMP) data object", "topics": [ "gg_vimp", "gg_vimp.randomForest", "gg_vimp.randomForest.formula", "gg_vimp.rfsrc" ] }, { "page": "kaplan", "title": "nonparametric Kaplan-Meier estimates", "topics": [ "kaplan" ] }, { "page": "nelson", "title": "nonparametric Nelson-Aalen estimates", "topics": [ "nelson" ] }, { "page": "plot.gg_beta_varpro", "title": "Plot a 'gg_beta_varpro' object", "topics": [ "plot.gg_beta_varpro" ] }, { "page": "plot.gg_brier", "title": "Plot a 'gg_brier' object", "topics": [ "plot.gg_brier" ] }, { "page": "plot.gg_error", "title": "Plot a 'gg_error' object", "topics": [ "plot.gg_error" ] }, { "page": "plot.gg_isopro", "title": "Plot a varPro isolation-forest anomaly score", "topics": [ "plot.gg_isopro" ] }, { "page": "plot.gg_ivarpro", "title": "Plot a 'gg_ivarpro' object", "topics": [ "plot.gg_ivarpro" ] }, { "page": "plot.gg_partial", "title": "Plot a 'gg_partial' object", "topics": [ "plot.gg_partial" ] }, { "page": "plot.gg_partial_rfsrc", "title": "Plot a 'gg_partial_rfsrc' object", "topics": [ "plot.gg_partial_rfsrc" ] }, { "page": "plot.gg_partial_varpro", "title": "Plot a 'gg_partial_varpro' object", "topics": [ "plot.gg_partialpro", "plot.gg_partial_varpro" ] }, { "page": "plot.gg_rfsrc", "title": "Predicted response plot from a 'gg_rfsrc' object.", "topics": [ "plot.gg_rfsrc" ] }, { "page": "plot.gg_roc", "title": "ROC plot generic function for a 'gg_roc' object.", "topics": [ "plot.gg_roc" ] }, { "page": "plot.gg_survival", "title": "Plot a 'gg_survival' object.", "topics": [ "plot.gg_survival" ] }, { "page": "plot.gg_udependent", "title": "Plot a 'gg_udependent' variable dependency graph", "topics": [ "plot.gg_udependent" ] }, { "page": "plot.gg_variable", "title": "Plot a 'gg_variable' object,", "topics": [ "plot.gg_variable" ] }, { "page": "plot.gg_varpro", "title": "Plot a 'gg_varpro' variable importance object", "topics": [ "plot.gg_varpro" ] }, { "page": "plot.gg_vimp", "title": "Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' object", "topics": [ "plot.gg_vimp" ] }, { "page": "print.gg", "title": "Print methods for gg_* data objects", "topics": [ "print.gg", "print.gg_beta_varpro", "print.gg_brier", "print.gg_error", "print.gg_isopro", "print.gg_ivarpro", "print.gg_partial", "print.gg_partialpro", "print.gg_partial_rfsrc", "print.gg_partial_varpro", "print.gg_rfsrc", "print.gg_roc", "print.gg_survival", "print.gg_udependent", "print.gg_variable", "print.gg_varpro", "print.gg_vimp", "print.summary.gg_udependent" ] }, { "page": "quantile_pts", "title": "Quantile-based cut points for coplots", "topics": [ "quantile_pts" ] }, { "page": "summary.gg", "title": "Summary methods for gg_* data objects", "topics": [ "print.summary.gg", "summary.gg", "summary.gg_beta_varpro", "summary.gg_brier", "summary.gg_error", "summary.gg_isopro", "summary.gg_ivarpro", "summary.gg_partial", "summary.gg_partialpro", "summary.gg_partial_rfsrc", "summary.gg_partial_varpro", "summary.gg_rfsrc", "summary.gg_roc", "summary.gg_survival", "summary.gg_udependent", "summary.gg_variable", "summary.gg_varpro", "summary.gg_vimp" ] }, { "page": "surv_partial.rfsrc", "title": "Survival partial dependence data for one or more predictors", "topics": [ "surv_partial.rfsrc" ] }, { "page": "varpro_feature_names", "title": "Recover original variable names from varpro one-hot encoded feature names", "topics": [ "varpro_feature_names" ] } ], "_readme": "https://github.com/cran/ggRandomForests/raw/HEAD/README.md", "_rundeps": [ "BART", "base64enc", "bit", "bit64", "bslib", "cachem", "cli", "clipr", "codetools", "cpp11", "crayon", "data.tree", "DiagrammeR", "digest", "dplyr", "evaluate", "farver", "fastmap", "fontawesome", "foreach", "fs", "gbm", "generics", "ggplot2", "glmnet", "glue", "gtable", "highr", "hms", "htmltools", "htmlwidgets", "igraph", "isoband", "iterators", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lifecycle", "magrittr", "Matrix", "memoise", "mime", "nlme", "patchwork", "pillar", "pkgconfig", "prettyunits", "progress", "purrr", "R6", "randomForest", "randomForestSRC", "rappdirs", "RColorBrewer", "Rcpp", "RcppEigen", "readr", "rlang", "rmarkdown", "rstudioapi", "S7", "sass", "scales", "shape", "stringi", "stringr", "survival", "tibble", "tidyr", "tidyselect", "tinytex", "tzdb", "utf8", "varPro", "vctrs", "viridisLite", "visNetwork", "vroom", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "varpro.qmd", "filename": "varpro.html", "title": "Exploring variable importance with varPro", "engine": "quarto::html", "headings": [ "What varPro is", "Regression: Boston housing", "Per-tree importance with gg_varpro()", "Partial dependence with gg_partial_varpro()", "Per-rule lasso refinement with gg_beta_varpro()", "Cross-variable dependency with gg_udependent()", "Anomaly scoring with gg_isopro()", "Local importance with gg_ivarpro()", "Classification: iris", "Class-conditional importance with gg_varpro(conditional = TRUE)", "Partial dependence: gg_partial_varpro() on classification", "Per-class lasso refinement with gg_beta_varpro()", "Survival: PBC", "Variable importance: gg_varpro()", "Partial dependence: gg_partial_varpro() (C-path)", "Anomaly scoring: gg_isopro() on the X-matrix", "Not available for survival: gg_beta_varpro, gg_ivarpro", "Cross-cutting reference", "Family-support matrix", "Factor-level ordering", "Caching the expensive calls", "Provenance shape", "Further reading", "References" ], "created": "2026-06-11 16:00:02", "modified": "2026-06-11 16:00:02", "commits": 1 }, { "source": "ggRandomForests-regression.qmd", "filename": "ggRandomForests-regression.html", "title": "Random Forest Regression with ggRandomForests", "engine": "quarto::html", "headings": [ "Work in progress", "Introduction", "Data: Boston Housing Values", "Exploratory data analysis", "Growing a Random Forest", "OOB error convergence", "OOB predictions", "Variable Selection", "Variable importance (VIMP)", "Minimal depth", "Variable Dependence", "Variable dependence plots", "Partial dependence", "Variable Interactions and Conditioning Plots", "Conditioning on a categorical variable", "Conditioning on a continuous variable", "Partial Dependence Surface", "Conclusion", "References" ], "created": "2026-05-02 11:11:15", "modified": "2026-06-11 16:00:02", "commits": 2 }, { "source": "ggRandomForests-survival.qmd", "filename": "ggRandomForests-survival.html", "title": "Random Forest Survival Analysis with ggRandomForests", "engine": "quarto::html", "headings": [ "Work in progress", "Introduction", "Data: Primary Biliary Cirrhosis (PBC)", "Data cleaning", "Exploratory data analysis", "Kaplan--Meier survival by treatment", "Growing a Random Survival Forest", "OOB error convergence", "OOB predicted survival", "Test set predictions", "Variable Selection", "Variable importance (VIMP)", "Minimal depth", "Variable Dependence", "Variable dependence plots", "Partial dependence", "Conditional dependence", "Partial Dependence Surfaces", "Brier Score and CRPS", "Conclusion", "References" ], "created": "2026-05-02 11:11:15", "modified": "2026-06-11 16:00:02", "commits": 3 }, { "source": "ggRandomForests.qmd", "filename": "ggRandomForests.html", "title": "Vignette's Title", "engine": "quarto::html", "headings": [ "Error trajectories with gg_error()", "Marginal dependence via gg_variable()", "Variable importance with gg_vimp()", "Balanced conditioning cuts with quantile_pts()", "Next steps" ], "created": "2026-05-02 11:11:15", "modified": "2026-06-11 16:00:02", "commits": 2 } ], "_score": 6.1655410767223735, "_indexed": false, "_nocasepkg": "ggrandomforests", "_universes": [ "cran" ], "_indexurl": "https://ehrlinger.r-universe.dev/ggRandomForests", "_previous": "2.7.3", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "3.1.0", "date": "2026-06-11T21:31:07.000Z", "distro": "noble", "commit": "52ba2d347d9e3c84b1e0aa2a05f6dee057fa85a0", "fileid": "41fe1e12ec02c9ff981aa85a3d82f4f65b54c571e6312d6455557673dfcb0e7e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27378233292" }, { "r": "4.6.0", "os": "linux", "version": "3.1.0", "date": "2026-06-11T21:30:59.000Z", "distro": "noble", "commit": "52ba2d347d9e3c84b1e0aa2a05f6dee057fa85a0", "fileid": "c352ff53cd933537854c9c66e601ab922f23507cdb1047a51efe96f79455a30b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27378233292" }, { "r": "4.6.0", "os": "wasm", "version": "3.1.0", "date": "2026-06-11T21:31:12.000Z", "commit": "52ba2d347d9e3c84b1e0aa2a05f6dee057fa85a0", "fileid": "1bd57a777aa459cc9accefa2555a515b5e4b090ffb0bc5206d3cffa119c0c6c4", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27378233292" } ] }