R-Package with additions to the randomforest package that enables different kinds of Leave-One-Out analyses cross-validation and the estimation of the true error. Contains three main functions for the estimation of random forests classification with leave-one-out cross validation, their true error via parametric bootstrapping, and significance testing of classificaiton models.
Currently only implemented for classification and not regression, as random forests are not ideal for extending regression models beyond the training/testing sets to new values. Package is given as is with no guarantees.
install.packages("remotes")
remotes::install_github("raytut/randomForestLOO")