clarify: Simulation-Based Inference for Regression Models10 months ago
Introduction | Related software | Using clarify | 1. Fitting the model | 2. Drawing from the coefficient distribution | 3. Computing derived quantities | 4. Summarize and visualize the simulated distribution | Wrappers for sim_apply(): sim_setx(), sim_ame(), and sim_adrf() | sim_setx(): predictions at representative values | sim_ame(): average adjusted predictions and average marginal effects | sim_adrf(): average dose-response functions | Transforming and combining estimates | transform() | cbind() | Using clarify with multiply imputed data | Comparison to other packages | Conclusion | References
