Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
Version: | 0.9-9 |
Depends: | R (≥ 2.10) |
Imports: | rpart (≥ 3.1-8), MASS, survival, nnet, class, prodlim |
Suggests: | mvtnorm, mlbench, TH.data |
Published: | 2019-04-28 |
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 |
Reference manual: | ipred.pdf |
Vignettes: |
Some more or less useful examples for illustration. |
Package source: | ipred_0.9-9.tar.gz |
Windows binaries: | r-devel: ipred_0.9-9.zip, r-release: ipred_0.9-9.zip, r-oldrel: ipred_0.9-9.zip |
macOS binaries: | r-release: ipred_0.9-9.tgz, r-oldrel: ipred_0.9-9.tgz |
Old sources: | ipred archive |
Reverse imports: | BioSeqClass, ICcforest, LTRCforests, mlearning, nlcv, optBiomarker, permimp, recipes, RecordLinkage, RTextTools, survcomp |
Reverse suggests: | aurelius, butcher, caret, caretEnsemble, ChemometricsWithR, ensembleR, fscaret, MLInterfaces, party, pdp, SuperLearner |
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