Visually Exploring Random Forests
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Documentation for package ‘ggRandomForests’ version 2.7.3
Help Pages
| ggRandomForests-package | ggRandomForests: Visually Exploring Random Forests |
| autoplot.gg | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_brier | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_error | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_partial | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_partialpro | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_partial_rfsrc | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_rfsrc | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_roc | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_survival | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_variable | 'autoplot' methods for 'ggRandomForests' data objects |
| autoplot.gg_vimp | 'autoplot' methods for 'ggRandomForests' data objects |
| calc_auc | Area Under the ROC Curve calculator |
| calc_auc.gg_roc | Area Under the ROC Curve calculator |
| calc_roc | Receiver Operator Characteristic calculator |
| calc_roc.randomForest | Receiver Operator Characteristic calculator |
| calc_roc.rfsrc | Receiver Operator Characteristic calculator |
| gg_brier | Brier score and CRPS for survival forests |
| gg_error | Random forest error trajectory data object |
| gg_error.randomForest | Random forest error trajectory data object |
| gg_error.randomForest.formula | Random forest error trajectory data object |
| gg_error.rfsrc | Random forest error trajectory data object |
| gg_partial | Split partial dependence data into continuous or categorical datasets |
| gg_partialpro | Split varpro partial dependence data into continuous or categorical datasets |
| gg_partial_rfsrc | Partial dependence data from an rfsrc model |
| gg_rfsrc | Predicted response data object |
| gg_rfsrc.rfsrc | Predicted response data object |
| gg_roc | ROC (Receiver Operating Characteristic) curve data from a classification forest. |
| gg_roc.randomForest | ROC (Receiver Operating Characteristic) curve data from a classification forest. |
| gg_roc.rfsrc | ROC (Receiver Operating Characteristic) curve data from a classification forest. |
| gg_survival | Nonparametric survival estimates. |
| gg_survival.default | Nonparametric survival estimates. |
| gg_survival.rfsrc | Nonparametric survival estimates. |
| gg_variable | Marginal variable dependence data object. |
| gg_variable.random | Marginal variable dependence data object. |
| gg_variable.randomForest | Marginal variable dependence data object. |
| gg_variable.rfsrc | Marginal variable dependence data object. |
| gg_vimp | Variable Importance (VIMP) data object |
| gg_vimp.randomForest | Variable Importance (VIMP) data object |
| gg_vimp.randomForest.formula | Variable Importance (VIMP) data object |
| gg_vimp.rfsrc | Variable Importance (VIMP) data object |
| kaplan | nonparametric Kaplan-Meier estimates |
| nelson | nonparametric Nelson-Aalen estimates |
| plot.gg_brier | Plot a 'gg_brier' object |
| plot.gg_error | Plot a 'gg_error' object |
| plot.gg_partial | Plot a 'gg_partial' object |
| plot.gg_partialpro | Plot a 'gg_partialpro' object |
| plot.gg_partial_rfsrc | Plot a 'gg_partial_rfsrc' object |
| plot.gg_rfsrc | Predicted response plot from a 'gg_rfsrc' object. |
| plot.gg_roc | ROC plot generic function for a 'gg_roc' object. |
| plot.gg_survival | Plot a 'gg_survival' object. |
| plot.gg_variable | Plot a 'gg_variable' object, |
| plot.gg_vimp | Plot a 'gg_vimp' object, extracted variable importance of a 'rfsrc' object |
| print.gg | Print methods for gg_* data objects |
| print.gg_brier | Print methods for gg_* data objects |
| print.gg_error | Print methods for gg_* data objects |
| print.gg_partial | Print methods for gg_* data objects |
| print.gg_partialpro | Print methods for gg_* data objects |
| print.gg_partial_rfsrc | Print methods for gg_* data objects |
| print.gg_rfsrc | Print methods for gg_* data objects |
| print.gg_roc | Print methods for gg_* data objects |
| print.gg_survival | Print methods for gg_* data objects |
| print.gg_variable | Print methods for gg_* data objects |
| print.gg_vimp | Print methods for gg_* data objects |
| print.summary.gg | Summary methods for gg_* data objects |
| quantile_pts | Quantile-based cut points for coplots |
| summary.gg | Summary methods for gg_* data objects |
| summary.gg_brier | Summary methods for gg_* data objects |
| summary.gg_error | Summary methods for gg_* data objects |
| summary.gg_partial | Summary methods for gg_* data objects |
| summary.gg_partialpro | Summary methods for gg_* data objects |
| summary.gg_partial_rfsrc | Summary methods for gg_* data objects |
| summary.gg_rfsrc | Summary methods for gg_* data objects |
| summary.gg_roc | Summary methods for gg_* data objects |
| summary.gg_survival | Summary methods for gg_* data objects |
| summary.gg_variable | Summary methods for gg_* data objects |
| summary.gg_vimp | Summary methods for gg_* data objects |
| surv_partial.rfsrc | Survival partial dependence data for one or more predictors |
| varpro_feature_names | Recover original variable names from varpro one-hot encoded feature names |