Package: ggRandomForests 3.1.0
John Ehrlinger
ggRandomForests: Visually Exploring Random Forests
Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Authors:
ggRandomForests_3.1.0.tar.gz
ggRandomForests_3.1.0.tar.gz(r-4.7-any)ggRandomForests_3.1.0.tar.gz(r-4.6-any)
ggRandomForests_3.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ggRandomForests/json (API)
NEWS
| # Install 'ggRandomForests' in R: |
| install.packages('ggRandomForests', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ehrlinger/ggrandomforests/issues
Pkgdown/docs site:https://ehrlinger.github.io
Last updated from:52ba2d347d. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 275 | ||
| source / vignettes | OK | 400 | ||
| linux-release-x86_64 | OK | 263 | ||
| wasm-release | OK | 148 |
Exports:calc_auccalc_rocgg_beta_varprogg_briergg_errorgg_isoprogg_ivarprogg_partialgg_partial_rfsrcgg_partial_varprogg_partialprogg_rfsrcgg_rocgg_survivalgg_udependentgg_variablegg_varprogg_vimpkaplannelsonquantile_ptssurv_partial.rfsrcvarpro_feature_names
Dependencies:BARTbase64encbitbit64bslibcachemclicliprcodetoolscpp11crayondata.treeDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomeforeachfsgbmgenericsggplot2glmnetgluegtablehighrhmshtmltoolshtmlwidgetsigraphisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimenlmepatchworkpillarpkgconfigprettyunitsprogresspurrrR6randomForestrandomForestSRCrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrstudioapiS7sassscalesshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbutf8varProvctrsviridisLitevisNetworkvroomwithrxfunyaml
Exploring variable importance with varPro
Rendered fromvarpro.qmdusingquarto::htmlon Jun 11 2026.Last update: 2026-06-11
Started: 2026-06-11
Random Forest Regression with ggRandomForests
Rendered fromggRandomForests-regression.qmdusingquarto::htmlon Jun 11 2026.Last update: 2026-06-11
Started: 2026-05-02
Random Forest Survival Analysis with ggRandomForests
Rendered fromggRandomForests-survival.qmdusingquarto::htmlon Jun 11 2026.Last update: 2026-06-11
Started: 2026-05-02
Vignette's Title
Rendered fromggRandomForests.qmdusingquarto::htmlon Jun 11 2026.Last update: 2026-06-11
Started: 2026-05-02
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ggRandomForests: Visually Exploring Random Forests | ggRandomForests-package |
| 'autoplot' methods for 'ggRandomForests' data objects | 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 |
| Area Under the ROC Curve calculator | calc_auc calc_auc.gg_roc |
| Receiver Operator Characteristic calculator | calc_roc calc_roc.randomForest calc_roc.rfsrc |
| Per-variable lasso-beta importance from a varPro fit | gg_beta_varpro |
| Brier score and CRPS for survival forests | gg_brier |
| Random forest error trajectory data object | gg_error gg_error.randomForest gg_error.randomForest.formula gg_error.rfsrc |
| Tidy data from a varPro isolation-forest fit | gg_isopro |
| Individual (local) variable importance from a varPro fit | gg_ivarpro |
| Split partial dependence data into continuous or categorical datasets | gg_partial |
| Partial dependence data from an rfsrc model | gg_partial_rfsrc |
| Partial dependence data from a varPro model | gg_partialpro gg_partial_varpro |
| Predicted response data object | gg_rfsrc gg_rfsrc.rfsrc |
| ROC (Receiver Operating Characteristic) curve data from a classification forest. | gg_roc gg_roc.randomForest gg_roc.rfsrc |
| Nonparametric survival estimates. | gg_survival gg_survival.default gg_survival.rfsrc |
| Variable dependency graph from a uvarpro model | gg_udependent |
| Marginal variable dependence data object. | gg_variable gg_variable.random gg_variable.randomForest gg_variable.rfsrc |
| Variable importance data from a varPro model | gg_varpro |
| Variable Importance (VIMP) data object | gg_vimp gg_vimp.randomForest gg_vimp.randomForest.formula gg_vimp.rfsrc |
| nonparametric Kaplan-Meier estimates | kaplan |
| nonparametric Nelson-Aalen estimates | nelson |
| Plot a 'gg_beta_varpro' object | plot.gg_beta_varpro |
| Plot a 'gg_brier' object | plot.gg_brier |
| Plot a 'gg_error' object | plot.gg_error |
| Plot a varPro isolation-forest anomaly score | plot.gg_isopro |
| Plot a 'gg_ivarpro' object | plot.gg_ivarpro |
| Plot a 'gg_partial' object | plot.gg_partial |
| Plot a 'gg_partial_rfsrc' object | plot.gg_partial_rfsrc |
| Plot a 'gg_partial_varpro' object | plot.gg_partialpro plot.gg_partial_varpro |
| Predicted response plot from a 'gg_rfsrc' object. | plot.gg_rfsrc |
| ROC plot generic function for a 'gg_roc' object. | plot.gg_roc |
| Plot a 'gg_survival' object. | plot.gg_survival |
| Plot a 'gg_udependent' variable dependency graph | plot.gg_udependent |
| Plot a 'gg_variable' object, | plot.gg_variable |
| Plot a 'gg_varpro' variable importance object | plot.gg_varpro |
| Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' object | plot.gg_vimp |
| Print methods for gg_* data objects | 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 |
| Quantile-based cut points for coplots | quantile_pts |
| Summary methods for gg_* data objects | 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 |
| Survival partial dependence data for one or more predictors | surv_partial.rfsrc |
| Recover original variable names from varpro one-hot encoded feature names | varpro_feature_names |
