| 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. |