The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 0.7.7 |
| 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: | 2024-02-27 |
| 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 |
| Materials: | NEWS |
| CRAN checks: | mcmcsae results |
| Reference manual: | mcmcsae.pdf |
| Vignettes: |
Basic area-level model Linear regression, prediction, and survey weighting Basic unit-level models |
| Package source: | mcmcsae_0.7.7.tar.gz |
| Windows binaries: | r-devel: mcmcsae_0.7.7.zip, r-release: mcmcsae_0.7.7.zip, r-oldrel: mcmcsae_0.7.7.zip |
| macOS binaries: | r-release (arm64): mcmcsae_0.7.7.tgz, r-oldrel (arm64): mcmcsae_0.7.7.tgz, r-release (x86_64): mcmcsae_0.7.7.tgz, r-oldrel (x86_64): mcmcsae_0.7.7.tgz |
| Old sources: | mcmcsae archive |
| Reverse suggests: | hbsae |
Please use the canonical form https://CRAN.R-project.org/package=mcmcsae to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.