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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BayesMFSurv/json (API)

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

Peer review:

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

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

On CRAN:

misclassified-failure-estimatessurvival

3.00 score 1 stars 179 downloads 5 exports 16 dependencies

Last updated 4 years agofrom:bda06213b1. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 31 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 2024

Exports:mcmcsurvmfsurvmfsurv.statsmfsurv.summarystats

Dependencies:codaFastGPlatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregrbenchmarkRcppRcppArmadilloRcppEigenSparseMsurvival

Readme and manuals

Help Manual

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