Reference

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
Deprecated
change_colnames()	Change column names of a dataframe
extract_parameters_from_draw()	Extract parameters from a single draw
process_replications()	Extract posterior predictive distribution