Implements Bayesian marginal structural models for causal effect estimation with time-varying treatment and confounding. It includes an extension to handle informative right censoring. The Bayesian importance sampling weights are estimated using JAGS. See Saarela (2015) <doi:10.1111/biom.12269> for methodological details.
Version: 1.0.0 Depends: R (≥ 4.2.0) Imports: coda (≥ 0.19-4), doParallel, foreach, ggplot2, graphics, grDevices, MCMCpack, parallel, R2jags, stats Suggests: devtools, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-06-17 DOI: 10.32614/CRAN.package.bayesmsm Author: Kuan Liu [aut, cre, cph], Xiao Yan [aut], Martin Urner [aut] Maintainer: Kuan Liu <kuan.liu at utoronto.ca> BugReports: https://github.com/Kuan-Liu-Lab/bayesmsm/issues License: MIT + file LICENSE URL: https://github.com/Kuan-Liu-Lab/bayesmsm NeedsCompilation: no Materials: README NEWS CRAN checks: bayesmsm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bayesmsm to link to this page.
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