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 gmail.com> |
| 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: mclcar_0.1-8.zip, r-release: mclcar_0.1-8.zip, r-oldrel: mclcar_0.1-8.zip |
| OS X El Capitan binaries: | r-release: mclcar_0.1-8.tgz |
| OS X Mavericks binaries: | r-oldrel: mclcar_0.1-8.tgz |
| Old sources: | mclcar archive |
Please use the canonical form https://CRAN.R-project.org/package=mclcar to link to this page.