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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>.

Version: 0.2.3
Depends: R (≥ 2.10)
Imports: dlm, Formula, rootSolve, survival, matrixStats, stats
Suggests: testthat (≥ 3.0.0)
Published: 2023-03-26
DOI: 10.32614/CRAN.package.DepCens
Author: Silvana Schneider ORCID iD [aut, cre], Gabriel Grandemagne dos Santos [aut]
Maintainer: Silvana Schneider <silvana.schneider at ufrgs.br>
BugReports: https://github.com/GabrielGrandemagne/DepCens/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/GabrielGrandemagne/DepCens, https://gabrielgrandemagne.github.io/DepCens/
NeedsCompilation: no
Materials: README
CRAN checks: DepCens results

Documentation:

Reference manual: DepCens.pdf

Downloads:

Package source: DepCens_0.2.3.tar.gz
Windows binaries: r-devel: DepCens_0.2.3.zip, r-release: DepCens_0.2.3.zip, r-oldrel: DepCens_0.2.3.zip
macOS binaries: r-release (arm64): DepCens_0.2.3.tgz, r-oldrel (arm64): DepCens_0.2.3.tgz, r-release (x86_64): DepCens_0.2.3.tgz, r-oldrel (x86_64): DepCens_0.2.3.tgz
Old sources: DepCens archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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