PStrata - Principal Stratification Analysis in R
Estimating causal effects in the presence of
post-treatment confounding using principal stratification.
'PStrata' allows for customized monotonicity assumptions and
exclusion restriction assumptions, with automatic full Bayesian
inference supported by 'Stan'. The main workflow is
PStrataModel() to specify the model, fit() to run MCMC
sampling, estimate() to extract potential outcomes, and
contrast() to compute causal effects. Visualization tools are
provided for diagnosis and interpretation. See Liu and Li
(2023) <doi:10.48550/arXiv.2304.02740> for details.
