| %~% | Approximate equal |
| approx_equal | Approximate equal |
| cbbPalette | A colour blind friendly palette (with black) |
| check_model_sensitivity | Compare prior to posterior |
| combine_prior_posterior | Compare prior to posterior |
| compute_calibration | Estimate calibration given forecasts and corresponding outcomes |
| compute_coverage | Coverage probability |
| compute_prior_influence | Compare prior to posterior |
| compute_resolution | Compute resolution of forecasts, normalised by the uncertainty |
| compute_RPS | Compute RPS for a single forecast |
| compute_rsquared | Compute Bayesian R-squared from matrix of posterior replications |
| coverage | Coverage probability |
| empirical_pval | Compute empirical p-values |
| extract_ci | Extract confidence intervals from a vector of samples |
| extract_distribution | Extract a distribution represented by samples |
| extract_draws | Extract parameters' draws |
| extract_index_nd | Extract multiple indices inside bracket(s) as a list |
| extract_pdf | Extract probability density function from vector of samples |
| extract_pmf | Extract probability mass function from vector of samples |
| factor_to_numeric | Change the type of the column of a dataframe from factor to numeric |
| inv_logit | Logit and Inverse logit |
| is_scalar | Test whether x is of length 1 |
| is_scalar_wholenumber | Test whether x is a whole number |
| is_stanfit | Test whether an object is of class "stanfit" |
| is_wholenumber | Test whether x is a whole number |
| logit | Logit and Inverse logit |
| plot_coverage | Coverage probability |
| plot_prior_influence | Compare prior to posterior |
| plot_prior_posterior | Compare prior to posterior |
| post_pred_pval | Posterior Predictive p-value |
| PPC_group_distribution | Posterior Predictive Check for Stan model |
| prior_posterior | Compare prior to posterior |
| summary_statistics | Extract summary statistics |