Guillem Hurault Functions' Library

Documentation for package ‘HuraultMisc’ version 1.1.1

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%~%	Approximate equal
approx_equal	Approximate equal
cbbPalette	A colorblind-friendly palette (with black)
change_colnames	Change column names of a dataframe
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
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 numeric
illustrate_forward_chaining	Illustration forward chaining
illustrate_RPS	Illustration of the Ranked Probability Score
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
process_replications	Extract posterior predictive distribution
summary_statistics	Extract summary statistics