Package index • HuraultMisc

Manipulating samples from a distribution

extract_draws(): Extract parameters' draws

extract_distribution(): Extract a distribution represented by samples

extract_pmf(): Extract probability mass function from vector of samples

extract_pdf(): Extract probability density function from vector of samples

extract_ci(): Extract confidence intervals from a vector of samples

Analysing Bayesian model fit

summary_statistics(): Extract summary statistics

combine_prior_posterior() plot_prior_posterior() compute_prior_influence() plot_prior_influence() check_model_sensitivity(): Compare prior to posterior

compute_coverage() plot_coverage(): Coverage probability

PPC_group_distribution(): Posterior Predictive Check for Stan model

empirical_pval(): Compute empirical p-values

post_pred_pval(): Posterior Predictive p-value

compute_rsquared(): Compute Bayesian R-squared from matrix of posterior replications

Statistical calibration

compute_calibration(): Estimate calibration given forecasts and corresponding outcomes

compute_RPS(): Compute RPS for a single forecast

compute_resolution(): Compute resolution of forecasts, normalised by the uncertainty

Predicates

is_scalar(): Test whether x is of length 1

is_wholenumber() is_scalar_wholenumber(): Test whether x is a whole number

is_stanfit(): Test whether an object is of class "stanfit"

Miscellaneous

cbbPalette: A colour blind friendly palette (with black)

logit() inv_logit(): Logit and Inverse logit

approx_equal() `%~%`: Approximate equal

factor_to_numeric(): Change the type of the column of a dataframe from factor to numeric

extract_index_nd(): Extract multiple indices inside bracket(s) as a list