Package: fastcmprsk
Type: Package
Title: Fine-Gray Regression via Forward-Backward Scan
Version: 1.1.1
Author: Eric S. Kawaguchi
Maintainer: Eric S. Kawaguchi <ekawaguc@usc.edu>
Description: 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. 
Depends: R (>= 3.5.0)
Imports: dynpred, foreach, survival
Suggests: testthat, cmprsk, crrp
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-09-10 21:26:19 UTC; erickawaguchi
Repository: CRAN
Date/Publication: 2019-09-11 23:00:05 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-16 07:03:18 UTC; unix
Archs: fastcmprsk.so.dSYM
