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>, Rutten et al. (2024+) <doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).
Version: 0.1.7 Imports: survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, OpenMx, methods, Matrix, EnvStats, mvtnorm, rafalib, rvinecopulib, matrixcalc, nloptr, stringr, numDeriv, copula, R6, lubridate, splines2 Suggests: testthat (≥ 3.0.0), rkriging Published: 2025-03-11 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=depCensoring to link to this page.
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