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cff-version: 1.2.0
message: 'To cite package "bayesmsm" in publications use:'
type: software
license: MIT
title: 'bayesmsm: Fitting Bayesian Marginal Structural Models for Longitudinal Observational
  Data'
version: 1.0.0
doi: 10.32614/CRAN.package.bayesmsm
abstract: 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) <https://doi.org/10.1111/biom.12269> for methodological
  details.
authors:
- family-names: Liu
  given-names: Kuan
  email: kuan.liu@utoronto.ca
  orcid: https://orcid.org/0000-0002-5017-1276
- family-names: Yan
  given-names: Xiao
  email: Clarence.YXA@gmail.com
  orcid: https://orcid.org/0000-0001-9712-1199
- family-names: Urner
  given-names: Martin
  email: martin.urner@uhn.ca
  orcid: https://orcid.org/0000-0003-1133-4885
repository: https://kuan-liu-lab.r-universe.dev
repository-code: https://github.com/Kuan-Liu-Lab/bayesmsm
commit: 69f5b11a8a0d74c58fae59eb318db2d329de53da
url: https://github.com/Kuan-Liu-Lab/bayesmsm
date-released: '2025-06-19'
contact:
- family-names: Liu
  given-names: Kuan
  email: kuan.liu@utoronto.ca
  orcid: https://orcid.org/0000-0002-5017-1276