fastcmprsk: Fine-Gray Regression via Forward-Backward Scan

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

Documentation:

Reference manual:

fastcmprsk.pdf

Downloads:

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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