R: Fitting Bayesian Marginal Structural Models for Longitudinal Observational Data

# Fitting Bayesian Marginal Structural Models for Longitudinal Observational Data

## Documentation for package ‘bayesmsm’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bayesmsm | Bayesian Marginal Structural Model Bootstrap Estimation
bayesweight | Bayesian Treatment Effect Weight Estimation Using JAGS
bayesweight_cen | Bayesian Treatment Effect Weight Estimation for Censored Data
calculate_effect | This function to calculate the causal effect of an intervention given the parameter estimates and intervention levels
plot_APO | Plot Average Potential Outcomes (APO)
plot_ATE | Plot Average Treatment Effect Density from bayesmsm output
plot_est_box | Error bar plots for causal treatment effects
simData | Generate synthetic longitudinal data with optional right-censoring
summary_bayesmsm | Summary function to generate result table from bayesmsm