Package: BayesMFSurv 0.2.0

BayesMFSurv: Bayesian Misclassified-Failure Survival Model

Contains a split population survival estimator that models the misclassification probability of failure versus right-censored events. The split population survival estimator is described in Bagozzi et al. (2019) <doi:10.1017/pan.2019.6>.

Authors:Minnie M. Joo [aut], Nicolas Schmidt [aut, cre], Sergio Bejar [aut], Vineeta Yadav [aut], Bumba Mukherjee [aut], Benjamin Bagozzi [ctb]

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manual.pdf |manual.html✨
card.svg |card.png
BayesMFSurv/json (API)

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

Bug tracker:https://github.com/nicolas-schmidt/bayesmfsurv/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

misclassified-failure-estimatessurvivalcpp

3.30 score 2 stars 203 downloads 5 exports 15 dependencies

Last updated from:bda06213b1. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE148
linux-devel-x86_64NOTE143
source / vignettesOK201
linux-release-arm64NOTE140
linux-release-x86_64NOTE158
macos-release-arm64NOTE100
macos-release-x86_64NOTE309
macos-oldrel-arm64NOTE125
macos-oldrel-x86_64NOTE299
windows-develNOTE161
windows-releaseNOTE144
windows-oldrelNOTE124
wasm-releaseOK107

Exports:mcmcsurvmfsurvmfsurv.statsmfsurv.summarystats

Dependencies:codaFastGPlatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregRcppRcppArmadilloRcppEigenSparseMsurvival

Readme and manuals

Help Manual

Help pageTopics
Buhaugetal_2009_JCRBuhaugetal_2009_JCR
mcmcsurvmcmcsurv summary.mcmcsurv
mfsurv.statsmfsurv.stats
summary.mfsurvmfsurv mfsurv.summary summary.mfsurv
RBSRBS
mfsurv.statsstats