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>
and Willems et al. (2024+) <doi:10.48550/arXiv.2403.11860>.
Version: |
0.1.3 |
Imports: |
survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, OpenMx, mvtnorm, rafalib, rvinecopulib, matrixcalc, nloptr, stringr, numDeriv, SemiPar.depCens |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2024-10-17 |
DOI: |
10.32614/CRAN.package.depCensoring |
Author: |
Ilias Willems
[aut],
Gilles Crommen
[aut],
Negera Wakgari Deresa
[aut, cre],
Ingrid Van Keilegom
[aut],
Claudia Czado
[aut] |
Maintainer: |
Negera Wakgari Deresa <negera.deresa at gmail.com> |
License: |
GPL-3 |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
depCensoring results |
Documentation:
Downloads:
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