bayesmsm: Fitting Bayesian Marginal Structural Models for LongitudinalObservational Data
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 + fileLICENSE |
| URL: | https://github.com/Kuan-Liu-Lab/bayesmsm |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | bayesmsm results |
Documentation:
Downloads:
| Package source: | bayesmsm_1.0.0.tar.gz |
| Windows binaries: | r-devel:bayesmsm_1.0.0.zip, r-release:bayesmsm_1.0.0.zip, r-oldrel:bayesmsm_1.0.0.zip |
| macOS binaries: | r-release (arm64):bayesmsm_1.0.0.tgz, r-oldrel (arm64):bayesmsm_1.0.0.tgz, r-release (x86_64):bayesmsm_1.0.0.tgz, r-oldrel (x86_64):bayesmsm_1.0.0.tgz |
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