Fit the penalized Cox models with both non-overlapping and overlapping grouped penalties including the group lasso, group smoothly clipped absolute deviation, and group minimax concave penalty. The algorithms combine the MM approach and group-wise descent with some computational tricks including the screening, active set, and warm-start. Different tuning regularization parameter methods are provided.
Version: | 1.0.1 |
Depends: | Matrix (≥ 1.2-10), MASS, colorspace |
Imports: | Rcpp (≥ 1.0.3) |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2020-09-16 |
Author: | Xuan Dang |
Maintainer: | Xuan Dang <xuandang11289 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
CRAN checks: | grpCox results |
Reference manual: | grpCox.pdf |
Package source: | grpCox_1.0.1.tar.gz |
Windows binaries: | r-devel: grpCox_1.0.1.zip, r-release: grpCox_1.0.1.zip, r-oldrel: grpCox_1.0.1.zip |
macOS binaries: | r-release: grpCox_1.0.1.tgz, r-oldrel: grpCox_1.0.1.tgz |
Old sources: | grpCox archive |
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