ac                      Calculate the autocorrelation of a single
                        chain, for a specified amount of lags
calc_bin                Calculate binwidths by parameter, based on the
                        total number of bins.
ci                      Calculate Credible Intervals (wide and narrow).
get_family              Subset a ggs object to get only the parameters
                        with a given regular expression.
ggmcmc                  Wrapper function that creates a single pdf file
                        with all plots that ggmcmc can produce.
ggs                     Import MCMC samples into a ggs object than can
                        be used by all ggs_* graphical functions.
ggs_Rhat                Dotplot of Potential Scale Reduction Factor
                        (Rhat)
ggs_autocorrelation     Plot an autocorrelation matrix
ggs_caterpillar         Caterpillar plot with thick and thin CI
ggs_chain               Auxiliary function that extracts information
                        from a single chain.
ggs_compare_partial     Density plots comparing the distribution of the
                        whole chain with only its last part.
ggs_crosscorrelation    Plot the Cross-correlation between-chains
ggs_density             Density plots of the chains
ggs_geweke              Dotplot of the Geweke diagnostic, the standard
                        Z-score
ggs_histogram           Histograms of the paramters.
ggs_ppmean              Posterior predictive plot comparing the outcome
                        mean vs the distribution of the predicted
                        posterior means.
ggs_ppsd                Posterior predictive plot comparing the outcome
                        standard deviation vs the distribution of the
                        predicted posterior standard deviations.
ggs_rocplot             Receiver-Operator Characteristic (ROC) plot for
                        models with binary outcomes
ggs_running             Running means of the chains
ggs_separation          Separation plot for models with binary response
                        variables
ggs_traceplot           Traceplot of the chains
gl_unq                  Generate a factor with unequal number of
                        repetitions.
radon                   Simulations of the parameters of a hierarchical
                        model using the radon example in Gelman & Hill
                        (2007).
roc_calc                Calculate the ROC curve for a set of observed
                        outcomes and predicted probabilities
s                       Simulations of the parameters of a simple
                        linear regression with fake data.
s.binary                Simulations of the parameters of a simple
                        linear regression with fake data.
s.y.rep                 Simulations of the posterior predictive
                        distribution of a simple linear regression with
                        fake data.
sde0f                   Spectral Density Estimate at Zero Frequency.
y                       Values for the observed outcome of a simple
                        linear regression with fake data.
y.binary                Values for the observed outcome of a binary
                        logistic regression with fake data.
