bayesmsm
Fitting Bayesian Marginal Structural Models for Longitudinal Observational 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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | bayesmsm_1.0.0.tar.gz |
222.1 KiB |
1.0.0 |
rolling linux/noble R-4.5 | bayesmsm_1.0.0.tar.gz |
221.9 KiB |
1.0.0 |
rolling source/ R- | bayesmsm_1.0.0.tar.gz |
148.9 KiB |
1.0.0 |
latest linux/jammy R-4.5 | bayesmsm_1.0.0.tar.gz |
222.1 KiB |
1.0.0 |
latest linux/noble R-4.5 | bayesmsm_1.0.0.tar.gz |
221.9 KiB |
1.0.0 |
latest source/ R- | bayesmsm_1.0.0.tar.gz |
148.9 KiB |
1.0.0 |
2026-04-26 source/ R- | bayesmsm_1.0.0.tar.gz |
148.9 KiB |
1.0.0 |
2026-04-23 source/ R- | bayesmsm_1.0.0.tar.gz |
148.9 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | bayesmsm_1.0.0.zip |
226.3 KiB |