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. |