Package: rmstBayespara 0.1.0

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.

Authors:Keisuke Hanada [aut, cre], Masahiro Kojima [aut]

rmstBayespara_0.1.0.tar.gz
rmstBayespara_0.1.0.zip(r-4.7)rmstBayespara_0.1.0.zip(r-4.6)rmstBayespara_0.1.0.zip(r-4.5)
rmstBayespara_0.1.0.tgz(r-4.6-any)rmstBayespara_0.1.0.tgz(r-4.5-any)
rmstBayespara_0.1.0.tar.gz(r-4.7-any)rmstBayespara_0.1.0.tar.gz(r-4.6-any)
rmstBayespara_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rmstBayespara/json (API)

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

Bug tracker:https://github.com/keisuke-hanada/rmstbayespara/issues

On CRAN:

Conda:

2.70 score 1 stars 136 downloads 2 exports 76 dependencies

Last updated from:ca034c1507. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK236
source / vignettesOK217
linux-release-x86_64OK245
macos-release-arm64OK197
macos-oldrel-arm64OK194
windows-develOK211
windows-releaseOK191
windows-oldrelOK193
wasm-releaseOK129

Exports:brm_survrmstpara

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11crayondescdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithrzipfR