Package: mcmcsae Version: 0.8.1 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 Language: en-GB 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: 2026-07-19 Depends: R (>= 4.1.0) Imports: Matrix (>= 1.6.2), Rcpp (>= 0.11.0), methods, GIGrvg (>= 0.7), loo (>= 2.0.0), collapse Suggests: dbarts, BayesLogit, lintools, splines, mgcv, spdep, sf, bayesplot, coda, posterior, parallel, testthat, roxygen2, knitr, rmarkdown, survey LinkingTo: Rcpp, RcppEigen, Matrix, GIGrvg VignetteBuilder: knitr Collate: 'AR1_sampler.R' 'GMRF_extension.R' 'MCMCsim.R' 'MH.R' 'tabMatrix.R' 'MatrixUtils.R' 'RcppExports.R' 'TMVN_methods.R' 'TMVN_sampler.R' 'aux_closures.R' 'cMVN_sampler.R' 'cholesky.R' 'conjugate_gradients.R' 'f_binomial.R' 'f_gamma.R' 'f_gaussian.R' 'f_multi.R' 'f_multinomial.R' 'f_negbinomial.R' 'f_poisson.R' 'f_student_t.R' 'family.R' 'formulas.R' 'kronprod.R' 'mc_bart.R' 'mc_block.R' 'mc_gen.R' 'mc_gl.R' 'mc_mec.R' 'mc_offset.R' 'mc_reg.R' 'mc_s.R' 'mc_vfac.R' 'mc_vreg.R' 'mcmcsae.R' 'model_eval.R' 'modelmatrix.R' 'models.R' 'parallel.R' 'plots.R' 'prediction.R' 'priors.R' 'projection.R' 'random.R' 'samplers.R' 'sbc.R' 'set_constraints.R' 'sparse_template.R' 'utils.R' Config/roxygen2/version: 8.0.0 NeedsCompilation: yes Packaged: 2026-07-20 21:01:50 UTC; root Author: Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb] Maintainer: Harm Jan Boonstra Repository: https://cran.r-universe.dev Date/Publication: 2026-07-20 18:40:02 UTC RemoteUrl: https://github.com/cran/mcmcsae RemoteRef: HEAD RemoteSha: e88f32fc7edefee9bb355e78ae5e9c8eb45966c7