Markov Chain Monte Carlo Small Area Estimation

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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.7.0 by Harm Jan Boonstra, 3 months ago

Browse source code at

Authors: Harm Jan Boonstra [aut, cre] , Grzegorz Baltissen [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports Matrix, Rcpp, methods, GIGrvg, loo, matrixStats

Suggests BayesLogit, lintools, splines, spdep, maptools, bayesplot, coda, posterior, parallel, testthat, roxygen2, knitr, rmarkdown, survey

Linking to Rcpp, RcppEigen, Matrix, GIGrvg

See at CRAN