neurodata/RerF: CRAN v2.0.3

Changes in 2.0.3:

• The PrintTree function has been added to aid in viewing the cut-points, features, and other statistics in a particular tree of a forest.

• Urerf now supports using the Bayesian information criterion (BIC) from the mclust package for determining the best split.

• Feature importance calculations now correctly handle features whose weight vectors parametrize the same line. Also, when the projection weights are continuous we tabulate how many times a unique combination of features was used, ignoring the weights.

• An issue where the split.cpp function split the data A into {A, {}} has been resolved by computing equivalence within some factor of machine precision instead of exactly.