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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0.6.0 by Harm Jan Boonstra, 8 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