Hierarchical Spatial Autoregressive Model

A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm ( Dong and Harris (2014) ). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.


Reference manual

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0.4.2 by Angelos Mimis, a year ago

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

Authors: Guanpeng Dong , Richard Harris , Angelos Mimis

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

GPL (>= 2) license

Imports spdep, Rcpp

Suggests maptools, rgdal, rgeos, RColorBrewer, classInt, knitr

Linking to Rcpp, RcppArmadillo

See at CRAN