acfParams               The function computes (and by default plots)
                        estimates of the autocovariance or
                        autocorrelation function for the different
                        parameters of the model. This is a wrapper for
                        coda::acf.
calibrate               This function aligns multiple samples so that
                        their location parameters are equal.
calibrateNoDist         This function aligns multiple samples so that
                        their location parameters are equal.
comix                   This function generates a sample from the
                        posterior of COMIX.
effectiveSampleSize     This function creates an object that summarizes
                        the effective sample size for the parameters of
                        the model.
gewekeParams            This function creates an object that summarizes
                        the Geweke convergence diagnostic.
heidelParams            This function creates an object that summarizes
                        the Heidelberg-Welch convergence diagnostic.
plotEffectiveSampleSize
                        This function creates plots for the effective
                        sample size for the parameters of the model.
plotGewekeParams        This function creates plots for the Geweke
                        diagnostic and results of test of stationarity
                        for the parameters of the model.
plotHeidelParams        This function creates plots for the
                        Heidelberg-Welch diagnostic and results of test
                        of stationarity for the parameters of the
                        model.
plotTracePlots          This function creates trace plots for different
                        parameters of the MCMC chain.
relabelChain            This function relabels the chain to avoid label
                        switching issues.
summarizeChain          This function provides post-hoc estimates of
                        the model parameters.
tidyChain               This function creates tidy versions of the
                        stored chain. This object can then be used as
                        input for the other diagnostic functions in
                        this package.
transform_params        Convert between parameterizations of the
                        multivariate skew normal distribution.
