| approx_equal | Approximate equal | 
| cbbPalette | A colorblind-friendly palette (with black) | 
| change_colnames | Change column names of a dataframe | 
| compute_calibration | Estimate calibration given forecasts and corresponding... | 
| compute_resolution | Compute resolution of forecasts, normalised by the... | 
| compute_RPS | Compute RPS for a single forecast | 
| 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_parameters_from_draw | Extract parameters from a single draw | 
| 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... | 
| HuraultMisc-package | HuraultMisc: Guillem Hurault Personal Functions' Library | 
| illustrate_forward_chaining | Illustration forward chaining | 
| illustrate_RPS | Illustration of the Ranked Probability Score | 
| is_scalar | Test whether x is of length 1 | 
| is_stanfit | Test whether an object is of class "stanfit" | 
| is_wholenumber | Test whether x is a whole number | 
| logit | Logit and Inverse logit | 
| pipe | Pipe operator | 
| post_pred_pval | Posterior Predictive p-value | 
| PPC_group_distribution | Posterior Predictive Check for Stan model | 
| prior_posterior | Compare prior to posterior | 
| process_replications | Extract posterior predictive distribution | 
| summary_statistics | Extract summary statistics | 
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