_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-adabag 5.0
Propagated dependencies: r-caret@6.0-94 r-consrank@2.1.4 r-doparallel@1.0.17 r-dplyr@1.1.4 r-foreach@1.5.2 r-rpart@4.1.23 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://cran.r-project.org/web/packages/adabag/
Licenses: GPL 2+
Synopsis: Multiclass AdaBoost.M1, SAMME and Bagging
Description:

This package implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done.

Total results: 1