ipred: Improved Predictors

Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.

Version: 0.9-14
Depends: R (≥ 2.10)
Imports: rpart (≥ 3.1-8), MASS, survival, nnet, class, prodlim
Suggests: mvtnorm, mlbench, TH.data, randomForest, party
Published: 2023-03-09
DOI: 10.32614/CRAN.package.ipred
Author: Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn at R-project.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: NEWS
In views: Environmetrics, MachineLearning, Survival
CRAN checks: ipred results

Documentation:

Reference manual: ipred.pdf
Vignettes: Some more or less useful examples for illustration.

Downloads:

Package source: ipred_0.9-14.tar.gz
Windows binaries: r-devel: ipred_0.9-14.zip, r-release: ipred_0.9-14.zip, r-oldrel: ipred_0.9-14.zip
macOS binaries: r-release (arm64): ipred_0.9-14.tgz, r-oldrel (arm64): ipred_0.9-14.tgz, r-release (x86_64): ipred_0.9-14.tgz, r-oldrel (x86_64): ipred_0.9-14.tgz
Old sources: ipred archive

Reverse dependencies:

Reverse imports: ICcforest, LTRCforests, mlearning, nlcv, optBiomarker, permimp, pheble, pomodoro, recipes, RecordLinkage, RTextTools, survcomp
Reverse suggests: butcher, caret, caretEnsemble, censored, ensembleR, flowml, fscaret, MLInterfaces, party, pdp, subsemble, SuperLearner, superMICE

Linking:

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