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rmstBayespara: Bayesian Restricted Mean Survival Time for Cluster Effect

The parametric Bayes analysis for the restricted mean survival time (RMST) with cluster effect, as described in Hanada and Kojima (2024) <doi:10.48550/arXiv.2406.06071>. Bayes estimation with random-effect and frailty-effect can be applied to several parametric models useful in survival time analysis. The RMST under these parametric models can be computed from the obtained posterior samples.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: brms (≥ 2.21.0), crayon (≥ 1.5.0), loo (≥ 2.7.0), methods, rstan (≥ 2.32.0), stats (≥ 4.3.0), zipfR (≥ 0.6.7)
Suggests: testthat (≥ 3.0.0)
Published: 2024-07-03
DOI: 10.32614/CRAN.package.rmstBayespara
Author: Keisuke Hanada ORCID iD [aut, cre], Masahiro Kojima ORCID iD [aut]
Maintainer: Keisuke Hanada <keisuke.hanada.87 at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: rmstBayespara results

Documentation:

Reference manual: rmstBayespara.pdf

Downloads:

Package source: rmstBayespara_0.1.0.tar.gz
Windows binaries: r-devel: rmstBayespara_0.1.0.zip, r-release: rmstBayespara_0.1.0.zip, r-oldrel: rmstBayespara_0.1.0.zip
macOS binaries: r-release (arm64): rmstBayespara_0.1.0.tgz, r-oldrel (arm64): rmstBayespara_0.1.0.tgz, r-release (x86_64): rmstBayespara_0.1.0.tgz, r-oldrel (x86_64): rmstBayespara_0.1.0.tgz

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.