copCAR: Fitting the copCAR Regression Model for Discrete Areal Data

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Provides tools for fitting the copCAR regression model for discrete areal data. Three types of estimation are supported: continuous extension, composite marginal likelihood, and distributional transform.

Author
Emily Goren <emily.goren@gmail.com> and John Hughes <jphughesjr@gmail.com>
Date of publication
2016-07-04 20:29:14
Maintainer
John Hughes <jphughesjr@gmail.com>
License
GPL (>= 2)
Version
1.0-2

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Man pages

adjacency.matrix
Create adjacency matrix.
copCAR
Fit copCAR model to discrete areal data.
rcopCAR
Simulate areal data.
summary.copCAR
Print a summary of a copCAR model fit.
vcov.copCAR
Return the covariance matrix of the parameters of a 'copCAR'...

Files in this package

copCAR
copCAR/inst
copCAR/inst/CITATION
copCAR/src
copCAR/src/Makevars
copCAR/src/inverse.h
copCAR/src/buildM.cpp
copCAR/src/pbivnorm.f
copCAR/src/buildM.h
copCAR/src/Makevars.win
copCAR/src/inverse.cpp
copCAR/NAMESPACE
copCAR/R
copCAR/R/copCAR.R
copCAR/R/zzz.R
copCAR/MD5
copCAR/DESCRIPTION
copCAR/man
copCAR/man/copCAR.Rd
copCAR/man/rcopCAR.Rd
copCAR/man/vcov.copCAR.Rd
copCAR/man/adjacency.matrix.Rd
copCAR/man/summary.copCAR.Rd