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 discrete areal data. Three types of estimation are supported (continuous extension, 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
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.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
Old sources: copCAR archive

Linking:

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