mcmcsae: Markov Chain Monte Carlo Small Area Estimation (original) (raw)
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: | 0.7.8 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | Matrix (≥ 1.5.0), Rcpp (≥ 0.11.0), methods, GIGrvg (≥ 0.7), loo (≥ 2.0.0), matrixStats |
| LinkingTo: | Rcpp, RcppEigen, Matrix, GIGrvg |
| Suggests: | dbarts, BayesLogit, lintools, splines, spdep, sf, bayesplot, coda, posterior, parallel, testthat, roxygen2, knitr, rmarkdown, survey |
| Published: | 2024-12-11 |
| DOI: | 10.32614/CRAN.package.mcmcsae |
| Author: | Harm Jan Boonstra [aut, cre], Grzegorz Baltissen [ctb] |
| Maintainer: | Harm Jan Boonstra |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | |
| CRAN checks: | mcmcsae results |
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