BVN_Gibbs               MCMC samples from a bivariate normal
                        distribution
batchSize               Batch size (truncation point) selection
confRegion              Confidence regions (ellipses) for Monte Carlo
                        estimates
ess                     Univariate effective sample size (ESS) as
                        described in Gong and Flgal (2015).
estvssamp               Create a plot that shows how Monte Carlo
                        estimates change with increasing sample size.
is.mcmcse               Check if the class of the object is mcmcse
mcmcse-package          Monte Carlo Standard Errors for MCMC
mcse                    Compute Monte Carlo standard errors for
                        expectations.
mcse.initseq            Multivariate Monte Carlo standard errors for
                        expectations with the initial sequence method
                        of Dai and Jones (2017)
mcse.mat                Apply 'mcse' to each column of the MCMC
                        samples.
mcse.multi              Multivariate Monte Carlo standard errors for
                        expectations.
mcse.q                  Compute Monte Carlo standard errors for
                        quantiles.
mcse.q.mat              Apply 'mcse.q' to each column of a matrix or
                        data frame of MCMC samples.
minESS                  Minimum effective sample size required for
                        stable estimation as described in Vats et al.
                        (2015)
multiESS                Effective Sample Size of a multivariate Markov
                        chain as described in Vats et al. (2015).
