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In competing risks regression, the proportional subdistribution hazards (PSH) model is popular for its direct assessment of covariate effects on the cumulative incidence function. This package allows for both penalized and unpenalized PSH regression in linear time using a novel forward-backward scan. Penalties include Ridge, Lease Absolute Shrinkage and Selection Operator (LASSO), Smoothly Clipped Absolute Deviation (SCAD), Minimax Concave Plus (MCP), and elastic net <doi:10.32614/RJ-2021-010>.
Version: | 1.24.10 |
Depends: | R (≥ 4.1.0) |
Imports: | dynpred, foreach, survival, Matrix, methods |
Suggests: | testthat, cmprsk |
Published: | 2024-10-28 |
DOI: | 10.32614/CRAN.package.fastcmprsk |
Author: | Eric S. Kawaguchi [aut, cre] |
Maintainer: | Eric S. Kawaguchi <ekawaguc at usc.edu> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | fastcmprsk results |
Reference manual: | fastcmprsk.pdf |
Package source: | fastcmprsk_1.24.10.tar.gz |
Windows binaries: | r-devel: fastcmprsk_1.24.10.zip, r-release: fastcmprsk_1.24.10.zip, r-oldrel: fastcmprsk_1.24.10.zip |
macOS binaries: | r-release (arm64): fastcmprsk_1.24.10.tgz, r-oldrel (arm64): fastcmprsk_1.24.10.tgz, r-release (x86_64): fastcmprsk_1.24.10.tgz, r-oldrel (x86_64): fastcmprsk_1.24.10.tgz |
Old sources: | fastcmprsk archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.