'MCMCsim.R' 'MH.R' 'tabMatrix.R' 'MatrixUtils.R'
'RcppExports.R' 'TMVN_sampler.R' 'aux_closures.R' 'cholesky.R'
'family.R' 'formulas.R' 'kronprod.R' 'mc_block.R' 'mc_gen.R'
'mc_gl.R' 'mc_mec.R' 'mc_reg.R' 'mc_vfac.R' 'mc_vreg.R'
'mcmcsae.R' 'model_eval.R' 'modelmatrix.R' 'models.R' 'opts.R'
'parallel.R' 'plots.R' 'prediction.R' 'priors.R' 'random.R'
'samplers.R' 'sparse_template.R' 'utils.R'

BayesLogit, lintools, splines, spdep, maptools, bayesplot,
coda, posterior, parallel, testthat, roxygen2, knitr,
rmarkdown, survey
'MCMCsim.R' 'MH.R' 'tabMatrix.R' 'MatrixUtils.R'
'RcppExports.R' 'TMVN_sampler.R' 'aux_closures.R' 'cholesky.R'
'conjugate_gradients.R' 'family.R' 'formulas.R' 'kronprod.R'
'mc_block.R' 'mc_gen.R' 'mc_gl.R' 'mc_mec.R' 'mc_reg.R'
'mc_vfac.R' 'mc_vreg.R' 'mcmcsae.R' 'model_eval.R'
'modelmatrix.R' 'models.R' 'opts.R' 'parallel.R' 'plots.R'
'prediction.R' 'priors.R' 'random.R' 'samplers.R' 'sbc.R'
'sparse_template.R' 'utils.R'

Tools for calculating Monte Carlo standard errors (MCSE)
in Markov chain Monte Carlo (MCMC) settings.  This package
considers standard errors for expectation and quantile
estimators.

James M. Flegal <jflegal@ucr.edu> and John Hughes
<hughesj@umn.edu>
mcmcse provides tools for computing Monte Carlo standard
errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE
computation for expectation and quantile estimators is
supported. The package also provides functions for computing
effective sample size and for plotting Monte Carlo estimates
versus sample size.

James M. Flegal <jflegal@ucr.edu>, John Hughes
<hughesj@umn.edu> and Dootika Vats <vatsx007@umn.edu>
Provides tools for computing Monte Carlo standard
errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE
computation for expectation and quantile estimators is
supported as well as multivariate estimations. The package also provides
functions for computing effective sample size and for plotting
Monte Carlo estimates versus sample size.

James M. Flegal <jflegal@ucr.edu>,
John Hughes <j.hughes@ucdenver.edu>,
Dootika Vats <D.Vats@warwick.ac.uk>, and
Ning Dai <daixx224@umn.edu>