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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} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. 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: 3.0.4
Depends: R (≥ 3.5.0)
Imports: alabama, doParallel, foreach, MASS, parallel, splines2, stats, utils
Suggests: R.rsp
Published: 2022-05-10
DOI: 10.32614/CRAN.package.intccr
Author: Giorgos Bakoyannis, Jun Park
Maintainer: Jun Park <jun.park at alumni.iu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: intccr citation info
In views: Survival
CRAN checks: intccr results

Documentation:

Reference manual: intccr.pdf
Vignettes: R package: intccr

Downloads:

Package source: intccr_3.0.4.tar.gz
Windows binaries: r-devel: intccr_3.0.4.zip, r-release: intccr_3.0.4.zip, r-oldrel: intccr_3.0.4.zip
macOS binaries: r-release (arm64): intccr_3.0.4.tgz, r-oldrel (arm64): intccr_3.0.4.tgz, r-release (x86_64): intccr_3.0.4.tgz, r-oldrel (x86_64): intccr_3.0.4.tgz
Old sources: intccr archive

Linking:

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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.