Guillem Hurault Functions' Library


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Documentation for package ‘HuraultMisc’ version 1.2.1

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%~% 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