Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
Version: 0.9-15 Depends: R (≥ 2.10) Imports: rpart (≥ 3.1-8), MASS, survival, nnet, class, prodlim Suggests: mvtnorm, mlbench, TH.data, randomForest, party Published: 2024-07-18 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: Downloads: Reverse dependencies: Reverse depends: ClassificationEnsembles, LogisticEnsembles, NumericEnsembles Reverse imports: ICcforest, mlearning, nlcv, optBiomarker, permimp, pomodoro, recipes, RecordLinkage, RTextTools, survcomp, utsf Reverse suggests: butcher, caret, censored, flowml, MLInterfaces, party, pdp, subsemble, SuperLearner, superMICE Linking:Please use the canonical form https://CRAN.R-project.org/package=ipred to link to this page.
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