NEWS.md

In stablelearner: Stability Assessment of Statistical Learning Methods

stablelearner 0.1-5

• The as.stabletree() method for RandomForest objects (party package) is now registered as an S3 (rather than S4) method.

stablelearner 0.1-4

• Z takes over maintenance from MP.

• Fix checks for sampler specifications where a logical of length 2 is now correctly aggregated with all().

stablelearner 0.1-3

• Small improvements for CRAN checks.

stablelearner 0.1-2

• Changed default sampling method in stabletree() from bootstrap() to subsampling() with default fraction of v = 0.632.

• as.stabletree() coercion generic added which allows to coerce a randomForest (randomForest package), RandomForest (party package), cforest (partykit package) or ranger (ranger package) to a stabletree object.

• Added a vignette on the variable and cutpoint selection analysis of random forests.

stablelearner 0.1-1

• Project stablelearner has been launched and a stable version of the package has been uploaded to CRAN.

• stability() is available to estimate the stability of the results from a given supervised statistical learning method.

• stabletree() is available to estimate the stability of the results from recursive partitioning.

stablelearner documentation built on April 14, 2023, 12:40 a.m.