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).

Install the latest version of this package by entering the following in R:
install.packages("copCAR")
AuthorEmily Goren <emily.goren@gmail.com> and John Hughes <jphughesjr@gmail.com>
Date of publication2017-03-14 06:58:25
MaintainerJohn Hughes <jphughesjr@gmail.com>
LicenseGPL (>= 2)
Version2.0-2

View on CRAN

Files

inst
inst/CITATION
src
src/Makevars
src/pbivnorm.f
src/copCARmod.cpp
src/Makevars.win
src/init.c
src/RcppExports.cpp
NAMESPACE
R
R/copCAR.R R/RcppExports.R R/zzz.R
MD5
DESCRIPTION
man
man/copCAR.Rd man/rcopCAR.Rd man/vcov.copCAR.Rd man/adjacency.matrix.Rd man/summary.copCAR.Rd man/residuals.copCAR.Rd man/negbinomial.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.