Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results.
copied from cf-staging / r-rfpermuteconda install conda-forge::r-rfpermute
conda install conda-forge/label/cf201901::r-rfpermute
conda install conda-forge/label/cf202003::r-rfpermute
conda install conda-forge/label/gcc7::r-rfpermute