| 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. |