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]

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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'))

Peer review:

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

Datasets:

On CRAN:

2.70 score 7 scripts 160 downloads 3 exports 7 dependencies

Last updated 2 years agofrom:f970fb8cfe. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-winOKOct 17 2024
R-4.5-linuxOKOct 17 2024
R-4.4-winOKOct 17 2024
R-4.4-macOKOct 17 2024
R-4.3-winOKOct 17 2024
R-4.3-macOKOct 17 2024

Exports:dependent.censoringplot_dcsummary_dc

Dependencies:dlmFormulalatticeMatrixmatrixStatsrootSolvesurvival