partDSA is a novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.
| Version: | 0.8.5 |
| Depends: | R (≥ 2.5), survival |
| Suggests: | nws, MASS, ipred, VGAM |
| Published: | 2013-02-06 |
| Author: | Annette Molinaro, Karen Lostritto, Gregory Ryslik, Steve Weston |
| Maintainer: | Annette Molinaro <annette.molinaro at ucsf.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | HighPerformanceComputing |
| CRAN checks: | partDSA results |
| Package source: | partDSA_0.8.5.tar.gz |
| MacOS X binary: | partDSA_0.8.5.tgz |
| Windows binary: | partDSA_0.8.5.zip |
| Reference manual: | partDSA.pdf |
| Vignettes: |
partDSA: Deletion/Substitution/Addition Algorithm for Partitioning the Covariate Space in Prediction partDSA: Deletion/Substitution/Addition Algorithm for Partitioning the Covariate Space in Prediction |
| Reverse suggests: | caret |