Man pages for stephensrmmartin/ICCier
Computes ICCs, per person, or per observation, using the Bayesian mixed effects location scale model
| coef.ICCier | Extract group-specific values |
| datagen | Generate data for testing. |
| dot-extract_transform | Extracts samples, turns them into formed matrices for... |
| dot-get_random_effect_samples | Extract random effect samples. |
| dot-get_random_effect_z_samples | Extract standardized RE |
| dot-parse_formula | Parses formula using Formula. |
| fitted.ICCier | Extract ICC values. |
| generate_df | Generate data frame for testing. |
| ICCier | Run MELSM model. |
| ICCier-package | The 'ICCier' package. |
| log_lik.ICCier | Extract pointwise log-likelihood |
| loo.ICCier | Compute leave-one-out (LOO). |
| nsamples.ICCier | Extract the number of posterior samples. |
| posterior_interval.ICCier | ICCier Method for posterior intervals. |
| predict.ICCier | Predict new ICC values. |
| print.ICCier | Print method for ICCIer object. |
| print.summary.ICCier | Print method for ICCier summaries. |
| ranef.ICCier | Extract random effect values |
| summary.ICCier | Summary method for ICCier objects. |
