partDSA: Partitioning using deletion, substitution, and addition moves

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: 0.9.5
Depends: R (≥ 2.5), survival
Suggests: parallel, MASS, TH.data, VGAM
Published: 2014-03-05
Author: Annette Molinaro, Adam Olshen, Karen Lostritto, Gregory Ryslik, Steve Weston
Maintainer: Annette Molinaro <annette.molinaro at ucsf.edu>
License: GPL-2
NeedsCompilation: no
In views: HighPerformanceComputing
CRAN checks: partDSA results

Downloads:

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_0.9.5.tar.gz
Windows binaries: r-devel: partDSA_0.9.5.zip, r-release: partDSA_0.9.5.zip, r-oldrel: partDSA_0.9.5.zip
OS X Snow Leopard binaries: r-release: partDSA_0.9.5.tgz, r-oldrel: partDSA_0.9.5.tgz
OS X Mavericks binaries: r-release: partDSA_0.9.5.tgz
Old sources: partDSA archive

Reverse dependencies:

Reverse suggests: fscaret