mclcar: Estimating Conditional Auto-Regressive (CAR) Models using Monte Carlo Likelihood Methods

The likelihood of direct CAR models and Binomial and Poisson GLM with latent CAR variables are approximated by the Monte Carlo likelihood. The Maximum Monte Carlo likelihood estimator is found either by an iterative procedure of directly maximising the Monte Carlo approximation or by a response surface design method.Reference for the method can be found in the DPhil thesis in Z. Sha (2016). For application a good reference is R.Bivand (2017) <doi:10.1016/j.spasta.2017.01.002>.

Package details

AuthorZhe Sha [aut, cre]
MaintainerZhe Sha <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mclcar documentation built on May 2, 2019, 5:07 a.m.