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copCAR: Fitting the copCAR Regression Model for Discrete Areal Data

Provides tools for fitting the copCAR (Hughes, 2015) <doi:10.1080/10618600.2014.948178> regression model for discreteareal data. Three types of estimation are supported (continuousextension, composite marginal likelihood, and distributional transform),for three types of outcomes (Bernoulli, negative binomial, and Poisson).

Version:2.0-4
Depends:mcmcse,numDeriv,Rcpp,spam
LinkingTo:Rcpp,RcppArmadillo
Suggests:lattice, parallel,pbapply
Published:2021-01-08
DOI:10.32614/CRAN.package.copCAR
Author:Emily Goren and John Hughes
Maintainer:John Hughes <drjphughesjr at gmail.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Citation:copCAR citation info
CRAN checks:copCAR results

Documentation:

Reference manual:copCAR.html ,copCAR.pdf

Downloads:

Package source: copCAR_2.0-4.tar.gz
Windows binaries: r-devel:copCAR_2.0-4.zip, r-release:copCAR_2.0-4.zip, r-oldrel:copCAR_2.0-4.zip
macOS binaries: r-release (arm64):copCAR_2.0-4.tgz, r-oldrel (arm64):copCAR_2.0-4.tgz, r-release (x86_64):copCAR_2.0-4.tgz, r-oldrel (x86_64):copCAR_2.0-4.tgz
Old sources: copCAR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=copCARto link to this page.


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