R: Coarsened Mixtures of Hierarchical Skew Kernels

# Coarsened Mixtures of Hierarchical Skew Kernels

## Documentation for package ‘COMIX’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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.