nad7wf/RF: Run Random Forest with Different Cross Validation Strategies

In plant breeding, it is common to leave one population out when training a machine learning model. This package allows the user to run random forest using one population as the test set, as well as with other, more common, CV strategies (e.g. leave-one-out, 5-fold, 10-fold, etc.).

install.packages("remotes")
remotes::install_github("nad7wf/RF")