This is a new version (>= 4.0.0) of the RLT package. Versions prior to 4.0.0 are written in C (available at RLT-Archive), while newer versions are based on C++. This new version will replace the original CRAN package once it is finished.
The goal of RLT is to provide new functionalities of random forest models. This includes embedded model fit learning a better splitting rule; linear combination splits, confidence intervals, and several other new approaches that are currently being developed.
You can install the released version (currently <= 3.2.2) of RLT from CRAN with:
install.packages("RLT")