Type: Package
Package: bayesmsm
Title: Fitting Bayesian Marginal Structural Models for Longitudinal
        Observational Data
Version: 1.0.0
Authors@R: c(
    person("Kuan", "Liu", , "kuan.liu@utoronto.ca", role = c("aut", "cre","cph"),
           comment = c(ORCID = "0000-0002-5017-1276")),
    person("Xiao", "Yan", , "Clarence.YXA@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9712-1199")),
    person("Martin", "Urner", , "martin.urner@uhn.ca", role = "aut",
           comment = c(ORCID = "0000-0003-1133-4885"))
  )
Maintainer: Kuan Liu <kuan.liu@utoronto.ca>
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/Kuan-Liu-Lab/bayesmsm
BugReports: https://github.com/Kuan-Liu-Lab/bayesmsm/issues
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)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.3.2
Config/pak/sysreqs: jags libicu-dev
Repository: https://kuan-liu-lab.r-universe.dev
Date/Publication: 2025-06-19 21:27:56 UTC
RemoteUrl: https://github.com/kuan-liu-lab/bayesmsm
RemoteRef: HEAD
RemoteSha: 69f5b11a8a0d74c58fae59eb318db2d329de53da
Packaged: 2026-06-14 09:29:25 UTC; root
Author: Kuan Liu [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-5017-1276>),
  Xiao Yan [aut] (ORCID: <https://orcid.org/0000-0001-9712-1199>),
  Martin Urner [aut] (ORCID: <https://orcid.org/0000-0003-1133-4885>)