Imports: abind, chk, coda, extras, generics, lifecycle, nlist, purrr,

Imports: abind, chk (>= 0.7.0), coda, extras, generics, lifecycle,
nlist, purrr, stats, term, universals, utils
Suggests: covr, graphics, readr, rlang, testthat, tibble

person("Harm Jan", "Boonstra", email="hjboonstra@gmail.com", role=c("aut", "cre")),
Title: Markov Chain Monte Carlo Small Area Estimation
Description: Fit multi-level models with possibly correlated
random effects using Markov Chain Monte Carlo simulation.
Such models allow smoothing over space and time and are useful in,
Imports: Matrix (>= 1.2.0), Rcpp (>= 0.11.0), methods, GIGrvg, loo (>=
Suggests: BayesLogit, lintools, splines, spdep, maptools, bayesplot,
coda, parallel, testthat, roxygen2, knitr, rmarkdown, survey
LinkingTo: Rcpp, RcppEigen, Matrix, GIGrvg
Collate: 'MCMCsim.R' 'MH.R' 'tabMatrix.R' 'MatrixUtils.R'
'family.R' 'formulas.R' 'kronprod.R' 'mc_block.R' 'mc_gen.R'
'mc_gl.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'

'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'

coda, posterior, parallel, testthat, roxygen2, knitr,
'mc_block.R' 'mc_gen.R' 'mc_gl.R' 'mc_mec.R' 'mc_reg.R'
'modelmatrix.R' 'models.R' 'opts.R' 'parallel.R' 'plots.R'
'prediction.R' 'priors.R' 'random.R' 'samplers.R' 'sbc.R'

Title: Monte Carlo standard errors for MCMC
Author: James M. Flegal <jflegal@ucr.edu>
Maintainer: James M. Flegal <jflegal@ucr.edu>
Description: Tools for calculating Monte Carlo standard errors (MCSE)
in Markov chain Monte Carlo (MCMC) settings.  This package
considers standard errors for expectation and quantile
Packaged: 2012-05-18 16:17:25 UTC; jamesflegal

Title: Monte Carlo Standard Errors for MCMC
Author: James M. Flegal <jflegal@ucr.edu> and John Hughes
Description: 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
Packaged: 2012-08-06 15:47:22 UTC; jphughesjr