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Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions, with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++. For mathematical details and software tutorial, see Mahani and Sharabiani (2019) <doi:10.18637/jss.v089.i09>.
Version: | 1.2.0 |
Imports: | Rcpp (≥ 0.12.1), abind, survival, doParallel, foreach |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Published: | 2023-01-09 |
DOI: | 10.32614/CRAN.package.CFC |
Author: | Mansour T.A. Sharabiani, Alireza S. Mahani |
Maintainer: | Alireza S. Mahani <alireza.s.mahani at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | CFC citation info |
Materials: | ChangeLog |
In views: | Survival |
CRAN checks: | CFC results |
Reference manual: | CFC.pdf |
Package source: | CFC_1.2.0.tar.gz |
Windows binaries: | r-devel: CFC_1.2.0.zip, r-release: CFC_1.2.0.zip, r-oldrel: CFC_1.2.0.zip |
macOS binaries: | r-release (arm64): CFC_1.2.0.tgz, r-oldrel (arm64): CFC_1.2.0.tgz, r-release (x86_64): CFC_1.2.0.tgz, r-oldrel (x86_64): CFC_1.2.0.tgz |
Old sources: | CFC archive |
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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.