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.

Version: 1.1.1
Depends: R (≥ 3.5.0)
Imports: dynpred, foreach, survival
Suggests: testthat, cmprsk, crrp
Published: 2019-09-11
Author: Eric S. Kawaguchi
Maintainer: Eric S. Kawaguchi <ekawaguc at usc.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: fastcmprsk results

Downloads:

Reference manual: fastcmprsk.pdf
Package source: fastcmprsk_1.1.1.tar.gz
Windows binaries: r-devel: fastcmprsk_1.1.1.zip, r-release: fastcmprsk_1.1.1.zip, r-oldrel: fastcmprsk_1.1.1.zip
OS X binaries: r-release: fastcmprsk_1.1.1.tgz, r-oldrel: fastcmprsk_1.1.1.tgz
Old sources: fastcmprsk archive

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