rfsrc.news

Show the NEWS file of the randomForestSRC package.

documentation

Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes.  Extreme random forests and randomized splitting.  Suite of imputation methods for missing data.  Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance.  Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.

Udaya Kogalur

randomForestSRC

Fast Unified Random Forests for Survival, Regression, and
Classification (RF-SRC)

rfsrc.news function

<dl> <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Hemant Ishwaran and Udaya B. Kogalur

Author

Show the NEWS file — rfsrc.news

<dl>

 <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

rfsrc.news: Show the NEWS file

Description

Usage

Value

Arguments

Author