Man pages for causens
Perform Causal Sensitivity Analyses Using Various Statistical Methods
| bayesian_causens | Bayesian parametric sensitivity analysis for causal inference |
| causens_monte_carlo | Monte Carlo sensitivity analysis for causal effects |
| causens_sf | Bayesian Estimation of ATE Subject to Unmeasured Confounding |
| create_jags_model | Create an JAGS model for Bayesian sensitivity analysis |
| gData_U_binary_Y_binary | Generate data with a binary unmeasured confounder and binary... |
| gData_U_binary_Y_cont | Generate data with a binary unmeasured confounder and... |
| gData_U_cont_Y_binary | Generate data with a continuous unmeasured confounder and a... |
| gData_U_cont_Y_cont | Generate data with a continuous unmeasured confounder and... |
| plot_causens | Plot ATE with respect to sensitivity function value when it... |
| process_model_formula | Process model formula |
| sf | Calculate sensitivity of treatment effect estimate to... |
| simulate_data | Generate data with unmeasured confounder |
| summary.bayesian_causens | Summarize the results of a causal sensitivity analysis via... |
| summary.causens_sf | Summarize the results of a causal sensitivity analysis via... |
| summary.monte_carlo_causens | Summarize the results of a causal sensitivity analysis via... |
