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 |
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 |
Reference manual: | bayesmsm.pdf |
Vignettes: |
'bayesmsm' for longitudinal data with informative right-censoring (source, R code) 'bayesmsm' for longitudinal data without right-censoring (source, R code) |
Package source: | bayesmsm_1.0.0.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release (arm64): bayesmsm_1.0.0.tgz, r-oldrel (arm64): bayesmsm_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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