R: Principal Stratification Analysis in R

# Principal Stratification Analysis in R

## Documentation for package ‘PStrata’ version 1.0.1

- DESCRIPTION file
- Package README

## Help Pages

contrast | Contrast Potential Outcomes
contrast.PSEstimate | Contrast Potential Outcomes
contrast.PStrataFit | Contrast Potential Outcomes
diagnostics | MCMC Convergence Diagnostics
diagnostics.PStrataFit | MCMC Convergence Diagnostics
estimate | Extract Posterior Potential Outcomes
estimate.PStrataFit | Extract Posterior Potential Outcomes
fit | Fit a Principal Stratification Model
fit.PStrataModel | Fit a Principal Stratification Model
make_stancode | Stan Code for PStrata Models
plot.PStrataFit | Plot PStrataFit Objects
prior | Prior Distribution Functions
prior_cauchy | Prior Distribution Functions
prior_chisq | Prior Distribution Functions
prior_exponential | Prior Distribution Functions
prior_flat | Prior Distribution Functions
prior_gamma | Prior Distribution Functions
prior_inv_chisq | Prior Distribution Functions
prior_inv_gamma | Prior Distribution Functions
prior_lasso | Prior Distribution Functions
prior_logistic | Prior Distribution Functions
prior_normal | Prior Distribution Functions
prior_t | Prior Distribution Functions
prior_weibull | Prior Distribution Functions
PStrataModel | Define a Principal Stratification Model
PStrata_PACKAGE | PStrata: Principal STRATification Analysis for Data with Post-Randomization Confounding
sim_data_Cox | Simulated Dataset for Survival Outcome (Cox Model)
sim_data_normal | Simulated Dataset for Normal Outcome
stancode.PStrataFit | Extract the Generated Stan Code
survival | Family Function for Survival Data