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.
Version: 0.7.9 Depends: R (≥ 4.1.0) Imports: Matrix (≥ 1.6.2), Rcpp (≥ 0.11.0), methods, GIGrvg (≥ 0.7), loo (≥ 2.0.0), collapse LinkingTo: Rcpp, RcppEigen, Matrix, GIGrvg Suggests: dbarts, BayesLogit, lintools, splines, spdep, sf, bayesplot, coda, posterior, parallel, testthat, roxygen2, knitr, rmarkdown, survey Published: 2025-06-04 DOI: 10.32614/CRAN.package.mcmcsae Author: Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb] Maintainer: Harm Jan Boonstra <hjboonstra at gmail.com> License: GPL-3 NeedsCompilation: yes Language: en-GB Materials: NEWS CRAN checks: mcmcsae results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=mcmcsae to link to this page.
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