depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387> and Willems et al. (2024+) <doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).

Version:	0.1.5
Imports:	survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, OpenMx, methods, Matrix, EnvStats, mvtnorm, rafalib, rvinecopulib, matrixcalc, nloptr, stringr, numDeriv, copula
Suggests:	testthat (≥ 3.0.0)
Published:	2024-12-12
DOI:	10.32614/CRAN.package.depCensoring
Author:	Ilias Willems [aut], Gilles Crommen [aut], Negera Wakgari Deresa [aut, cre], Jie Ding [aut], Claudia Czado [aut], Ingrid Van Keilegom [aut]
Maintainer:	Negera Wakgari Deresa <negera.deresa at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	depCensoring results

Documentation:

Reference manual:

depCensoring.pdf

Downloads:

Package source:	depCensoring_0.1.5.tar.gz
Windows binaries:	r-devel: depCensoring_0.1.5.zip, r-release: depCensoring_0.1.4.zip, r-oldrel: depCensoring_0.1.5.zip
macOS binaries:	r-release (arm64): depCensoring_0.1.5.tgz, r-oldrel (arm64): depCensoring_0.1.5.tgz, r-release (x86_64): depCensoring_0.1.5.tgz, r-oldrel (x86_64): depCensoring_0.1.5.tgz
Old sources:	depCensoring archive

Linking:

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