cmpp: Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks

Implements parametric (Direct) regression methods for modeling cumulative incidence functions (CIFs) in the presence of competing risks. Methods include the direct Gompertz-based approach and generalized regression models as described in Jeong and Fine (2006) <doi:10.1111/j.1467-9876.2006.00532.x> and Jeong and Fine (2007) <doi:10.1093/biostatistics/kxj040>. The package facilitates maximum likelihood estimation, variance computation, with applications to clinical trials and survival analysis.

Version:	0.0.2
Depends:	R (≥ 4.1.2)
Imports:	ggplot2, dplyr, tidyr, numDeriv, cmprsk, tidyselect, stats, Rcpp
LinkingTo:	Rcpp, RcppEigen
Suggests:	roxygen2
Published:	2025-05-02
DOI:	10.32614/CRAN.package.cmpp
Author:	Habib Ezzatabadipour [aut, cre]
Maintainer:	Habib Ezzatabadipour <habibezati at outlook.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	README
CRAN checks:	cmpp results

Documentation:

Reference manual:

cmpp.pdf

Downloads:

Package source:	cmpp_0.0.2.tar.gz
Windows binaries:	r-devel: cmpp_0.0.2.zip, r-release: cmpp_0.0.2.zip, r-oldrel: cmpp_0.0.2.zip
macOS binaries:	r-release (arm64): cmpp_0.0.2.tgz, r-oldrel (arm64): cmpp_0.0.2.tgz, r-release (x86_64): cmpp_0.0.2.tgz, r-oldrel (x86_64): cmpp_0.0.2.tgz
Old sources:	cmpp archive

Linking:

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