Package: DepCens 0.2.2

Silvana Schneider

DepCens: Dependent Censoring Regression Models

Dependent censoring regression models for survival multivariate data. These models are based on extensions of the frailty models, capable to accommodating the dependence between failure and censoring times, with Weibull and piecewise exponential marginal distributions. Theoretical details regarding the models implemented in the package can be found in Schneider et al. (2019) <doi:10.1002/bimj.201800391>.

Authors:Silvana Schneider [aut, cre], Gabriel Grandemagne dos Santos [aut]

DepCens_0.2.2.tar.gz
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DepCens.pdf |DepCens.html✨
DepCens/json (API)

# Install 'DepCens' in R:
install.packages('DepCens', repos = c('https://gabrielgrandemagne.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gabrielgrandemagne/depcens/issues

Pkgdown site:https://gabrielgrandemagne.github.io

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 7 scripts 184 downloads 3 exports 7 dependencies

Last updated 2 years agofrom:f970fb8cfe. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-winOKMar 16 2025
R-4.5-macOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-winOKMar 16 2025
R-4.4-macOKMar 16 2025
R-4.4-linuxOKMar 16 2025
R-4.3-winOKMar 16 2025
R-4.3-macOKMar 16 2025

Exports:dependent.censoringplot_dcsummary_dc

Dependencies:dlmFormulalatticeMatrixmatrixStatsrootSolvesurvival