person("Aleksandra", "Paluszynska", email = "ola.paluszynska@gmail.com", role = c("aut", "cre")),
Author: Aleksandra Paluszynska [aut, cre],

Title: Random Forests for Survival, Regression, and Classification
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur
Maintainer: Udaya B. Kogalur <kogalurshear@gmail.com>
Description: A unified treatment of Breiman's random forests for
survival, regression, and classification problems based on
Ishwaran and Kogalur's random survival forests (RSF) package.

Title: Random Forests for Survival, Regression and Classification
survival, regression and classification problems based on
The package runs in both serial and parallel (OpenMP) modes.

Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Description: A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package.  The package runs in both serial and parallel (OpenMP) modes.

Suggests: glmnet, XML, survival, pec, Hmisc, mlbench

Suggests: glmnet, XML, survival, pec, prodlim, Hmisc, mlbench

Description: A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package.  The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.

Title: Fast Unified Random Forests for Survival, Regression, and
Suggests: survival, pec, prodlim, mlbench, akima, caret, imbalance,
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. 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 variable importance. Visualize trees on your Safari or Google Chrome browser.