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.

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.