Man pages for tim-coleman/RFtest
Scalable and Efficient Hypothesis Tests for Random Forests

bag.sSubsampled Model Bagging
f_holdoutRFEfficient Variable Importance Using Holdout Forests
MSE_compareComparing two pre-trained models.
MSE_Test.defaultComparing Test MSE's for Full and Reduced Models
permtestImpTesting Importance of All Variables
plot.MSE_TestPlotting the Output of the Permutation Test
plot.permtestImpPlotting a permutation test for all features.
RFPerm-packageScalable and Efficient Hypothesis Tests for Random Forests
summary.MSE_TestSummarizes an MSE Test object.
tim-coleman/RFtest documentation built on Jan. 6, 2020, 12:45 a.m.