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.

Version: 0.1-8
Depends: R (≥ 2.10)
Imports: spam, rsm, fields, maxLik, nleqslv, spdep
Suggests: knitr
Published: 2016-11-30
Author: Zhe Sha [aut, cre]
Maintainer: Zhe Sha <zhesha1006 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: TimeSeries
CRAN checks: mclcar results


Reference manual: mclcar.pdf
Vignettes: Introduction to mclcar
Package source: mclcar_0.1-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: mclcar_0.1-8.tgz, r-oldrel: mclcar_0.1-8.tgz
Old sources: mclcar archive


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