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: | 0.9.14 |
| Depends: | R (≥ 2.5), survival |
| Suggests: | parallel, MASS, TH.data, VGAM |
| Published: | 2017-01-05 |
| Author: | Annette Molinaro, Adam Olshen, Karen Lostritto, Gregory Ryslik, Steve Weston |
| Maintainer: | Annette Molinaro <annette.molinaro at ucsf.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | partDSA citation info |
| In views: | HighPerformanceComputing |
| CRAN checks: | partDSA results |
| Reference manual: | partDSA.pdf |
| Vignettes: |
partDSA: Deletion/Substitution/Addition Algorithm for Partitioning the Covariate Space in Prediction A Partitioning Deletion/Substitution/Addition Algorithm for Creating Survival Risk Groups |
| Package source: | partDSA_0.9.14.tar.gz |
| Windows binaries: | r-devel: partDSA_0.9.14.zip, r-release: partDSA_0.9.14.zip, r-oldrel: partDSA_0.9.14.zip |
| macOS binaries: | r-release: partDSA_0.9.14.tgz, r-oldrel: partDSA_0.9.14.tgz |
| Old sources: | partDSA archive |
| Reverse suggests: | fscaret |
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