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