Package: depCensoring 0.1.3
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>.
Authors:
depCensoring_0.1.3.tar.gz
depCensoring_0.1.3.tar.gz(r-4.5-noble)depCensoring_0.1.3.tar.gz(r-4.4-noble)
depCensoring_0.1.3.tgz(r-4.4-emscripten)depCensoring_0.1.3.tgz(r-4.3-emscripten)
depCensoring.pdf |depCensoring.html✨
depCensoring/json (API)
NEWS
# Install 'depCensoring' in R: |
install.packages('depCensoring', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 days agofrom:c754612dac. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 18 2024 |
R-4.5-linux | OK | Oct 18 2024 |
Exports:estimate.cmprskNonParTransParamCopSolveHTCsim
Dependencies:ADGofTestassertthatBHclicodetoolscolorspacecopuladigestdoParallelforeachgluegsliteratorskde1dlatticelifecyclemagrittrMASSMatrixmatrixcalcmvtnormnleqslvnloptrnumDerivOpenMxpbivnormpcaPPpsplinerafalibrandtoolboxRColorBrewerRcppRcppEigenRcppParallelRcppThreadrlangrngWELLrpfrvinecopulibSemiPar.depCensstabledistStanHeadersstringistringrsurvivalvctrswdm