R: Simulation-Based Inference for Regression Models

# Simulation-Based Inference for Regression Models

## Documentation for package ‘clarify’ version 0.2.2

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

## Help Pages

cbind.clarify_est | Transform and combine 'clarify_est' objects
confint.clarify_est | Plotting and inference for 'clarify_est' objects
misim | Simulate model coefficients after multiple imputation
plot.clarify_adrf | Plot marginal predictions from 'sim_adrf()'
plot.clarify_est | Plotting and inference for 'clarify_est' objects
plot.clarify_setx | Plot marginal predictions from 'sim_setx()'
print.clarify_adrf | Compute an average dose-response function
print.clarify_ame | Compute average marginal effects
print.clarify_est | Apply a function to simulated parameter values
print.clarify_setx | Compute predictions and first differences at set values
sim | Simulate model parameters
sim_adrf | Compute an average dose-response function
sim_ame | Compute average marginal effects
sim_apply | Apply a function to simulated parameter values
sim_setx | Compute predictions and first differences at set values
summary.clarify_est | Plotting and inference for 'clarify_est' objects
transform.clarify_est | Transform and combine 'clarify_est' objects