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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.

Changes in 2.0.2:

  • The option rho in the RerF function has been re-named to sparsity to match with the algorithm explanation.

  • The default parameters sent to the RandMat* functions now properly account for categorical columns.

  • The defaults have changed for the following parameters:

    • min.parent = 1
    • max.depth = 0
    • stratify = TRUE

  • Predictions are made based on the average of posteriors rather than average of the predictions.

  • The included RandMat* functions have been re-structured for ease of use with their own examples and documentation. This should make it easier to create and include a user defined function to use as an input option.

  • We are now using testthat for all of our function tests moving forward.

  • Housekeeping: Updated the README and changed maintainers.