CRAN/E | mclcar

mclcar

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

Installation

About

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 et.al (2017) doi:10.1016/j.spasta.2017.01.002.

Key Metrics

Version 0.2-0
R ≥ 2.10
Published 2022-01-08 838 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks mclcar results

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Maintainer

Maintainer

Zhe Sha

zhesha1006@gmail.com

Authors

Zhe Sha

aut / cre

Material

Reference manual
Package source

In Views

TimeSeries

Vignettes

Introduction to mclcar

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mclcar archive

Depends

R ≥ 2.10

Imports

spam
rsm
fields
maxLik
nleqslv
spdep
spatialreg

Suggests

knitr