intccr: Semiparametric Competing Risks Regression under Interval Censoring

Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. In addition, missing event types or left truncation are considered. We provide the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.

Version: 3.0.2
Depends: R (≥ 3.5.0)
Imports: alabama (≥ 2015.3.1), doParallel, foreach, MASS, parallel, stats, utils
Suggests: R.rsp
Published: 2020-02-20
Author: Giorgos Bakoyannis, Jun Park
Maintainer: Jun Park <jp84 at iu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: intccr citation info
In views: Survival
CRAN checks: intccr results

Downloads:

Reference manual: intccr.pdf
Vignettes: R package: intccr
Package source: intccr_3.0.2.tar.gz
Windows binaries: r-devel: intccr_3.0.1.zip, r-devel-gcc8: intccr_3.0.2.zip, r-release: intccr_3.0.2.zip, r-oldrel: intccr_3.0.2.zip
OS X binaries: r-release: intccr_3.0.2.tgz, r-oldrel: intccr_3.0.2.tgz
Old sources: intccr archive

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