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.


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install.packages("mcmcsae")

0.5.0 by Harm Jan Boonstra, 2 months ago


Browse source code at https://github.com/cran/mcmcsae


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, parallel, testthat, roxygen2, knitr, rmarkdown, survey

Linking to Rcpp, RcppEigen, Matrix, GIGrvg


See at CRAN