geoRglm - a package for generalised linear spatial models
Ole F. Christensen <o.christensen@lancaster.ac.uk>
Paulo J. Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>
Functions for inference in generalised linear spatial models

Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an `add-on'' to the package geoR, which must be installed first.

Ole F. Christensen <o.christensen@lancaster.ac.uk> and  Paulo J. Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>
Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package geoRglm is an extension to the package geoR, which must be installed first.

Ole F. Christensen <olefc@birc.dk> and  Paulo J. Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>

Ole F. Christensen <olefc@birc.au.dk> and  Paulo J. Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>

Ole F. Christensen <OleF.Christensen@agrsci.dk> and  Paulo J. Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>

Ole F. Christensen <OleF.Christensen@agrsci.dk> and Paulo J.
Ribeiro Jr <Paulo.Ribeiro@est.ufpr.br>
Functions for inference in generalised linear spatial
models. The posterior and predictive inference is based on
Markov chain Monte Carlo methods. Package geoRglm is an
extension to the package geoR, which must be installed first.

A Package for Generalised Linear Spatial Models
c(person(c("Ole", "F."), "Christensen", role = c("aut", "cre"),
email = "OleF.Christensen@mbg.au.dk"),
person(c("Paulo", "J."), "Ribeiro Jr", role = "aut",
email = "paulojus@ufpr.br"))
Ole F. Christensen [aut, cre], Paulo J. Ribeiro Jr [aut]

Functions for inference in generalised linear spatial models. The posterior and predictive inference is based on Markov chain Monte Carlo methods. Package 'geoRglm' is an extension to the package 'geoR', which must be installed first.
Ole F. Christensen [aut, cre],
Paulo J. Ribeiro Jr [aut]

c(person(given = "Ketut Karang",
family = "Pradnyadika",
role = c("aut", "cre"),
email = "221709776@stis.ac.id"),
person(given = "Ika Yuni",
family = "Wulansari",
role = c("aut","ths"),
email = "ikayuni@stis.ac.id"
)
)
This function is an extension of the Small Area Estimation (SAE) model. Geoadditive Small Area Model is a combination of the geoadditive model with the Small Area Estimation (SAE) model, by adding geospatial information to the SAE model. This package refers to J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7), Bocci, C., & Petrucci, A. (2016)<doi:10.1002/9781118814963.ch13>, and Ardiansyah, M., Djuraidah, A., & Kurnia, A. (2018)<doi:10.21082/jpptp.v2n2.2018.p101-110>.
Ketut Karang Pradnyadika [aut, cre],
Ika Yuni Wulansari [aut, ths]