Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
| Version: | 0.9-1 |
| Depends: | R (≥ 2.10), rpart (≥ 3.1-8), MASS, survival, nnet, class, prodlim |
| Suggests: | mvtnorm, mlbench |
| Published: | 2012-11-14 |
| Author: | Andrea Peters and Torsten Hothorn |
| Maintainer: | Torsten Hothorn <Torsten.Hothorn at R-project.org> |
| License: | GPL (≥ 2) |
| NeedsCompilation: | yes |
| In views: | Environmetrics, MachineLearning, Survival |
| CRAN checks: | ipred results |
| Package source: | ipred_0.9-1.tar.gz |
| MacOS X binary: | ipred_0.9-1.tgz |
| Windows binary: | ipred_0.9-1.zip |
| Reference manual: | ipred.pdf |
| Vignettes: |
Some more or less useful examples for illustration. |
| News/ChangeLog: | NEWS |
| Old sources: | ipred archive |
| Reverse depends: | RecordLinkage, RTextTools |
| Reverse imports: | mlearning, optBiomarker, zooimage |
| Reverse suggests: | caret, ChemometricsWithR, Daim, HSAUR, HSAUR2, mboost, partDSA, party, partykit, RGraphics, sperrorest, SuperLearner |