Package index
-
calc_auc() - Area Under the ROC Curve calculator
-
calc_roc(<rfsrc>) - Receiver Operator Characteristic calculator
-
ggRandomForests-package - ggRandomForests: Visually Exploring Random Forests
-
gg_error() - Random forest error trajectory data object
-
gg_partial() - Split partial dependence data into continuous or categorical datasets
-
gg_partial_rfsrc() - Split partial lots into continuous or categorical datasets
-
gg_partialpro() - Split varpro partial dependence data into continuous or categorical datasets
-
gg_rfsrc(<rfsrc>) - Predicted response data object
-
gg_roc(<rfsrc>) - ROC (Receiver operator curve) data from a classification random forest.
-
gg_survival() - Nonparametric survival estimates.
-
gg_variable() - Marginal variable dependence data object.
-
gg_vimp() - Variable Importance (VIMP) data object
-
kaplan() - nonparametric Kaplan-Meier estimates
-
nelson() - nonparametric Nelson-Aalen estimates
-
plot(<gg_error>) - Plot a
gg_errorobject -
plot(<gg_rfsrc>) - Predicted response plot from a
gg_rfsrcobject. -
plot(<gg_roc>) - ROC plot generic function for a
gg_rocobject. -
plot(<gg_survival>) - Plot a
gg_survivalobject. -
plot(<gg_variable>) - Plot a
gg_variableobject, -
plot(<gg_vimp>) - Plot a
gg_vimpobject, extracted variable importance of arfsrcobject -
quantile_pts() - Quantile-based cut points for coplots
-
shift() - lead function to shift by one (or more).
-
surv_partial.rfsrc() - Calculate survival curve partial plot.
-
varpro_feature_names() - Recover original variable names from varpro one-hot encoded feature names