Package: mcmcsae
Version: 0.7.0
Authors@R: c(
  person("Harm Jan", "Boonstra", email="hjboonstra@gmail.com", role=c("aut", "cre")),
  person("Grzegorz", "Baltissen", role="ctb"))
License: GPL-3
Title: Markov Chain Monte Carlo Small Area Estimation
Type: Package
LazyLoad: yes
Encoding: UTF-8
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,
    for example, small area estimation.
Date: 2021-10-08
Depends: R (>= 3.2.0)
Imports: Matrix (>= 1.2.0), Rcpp (>= 0.11.0), methods, GIGrvg, loo (>=
        2.0.0), matrixStats
Suggests: BayesLogit, lintools, splines, spdep, maptools, bayesplot,
        coda, posterior, parallel, testthat, roxygen2, knitr,
        rmarkdown, survey
LinkingTo: Rcpp, RcppEigen, Matrix, GIGrvg
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Collate: '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'
NeedsCompilation: yes
Packaged: 2021-10-09 16:10:52 UTC; hbta
Author: Harm Jan Boonstra [aut, cre],
  Grzegorz Baltissen [ctb]
Maintainer: Harm Jan Boonstra <hjboonstra@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-10 10:40:01 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 01:19:15 UTC; windows
Archs: i386, x64
