Package: copCAR 2.0-4

John Hughes

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).

Authors:Emily Goren <[email protected]> and John Hughes <[email protected]>

copCAR_2.0-4.tar.gz
copCAR_2.0-4.tar.gz(r-4.7-arm64)copCAR_2.0-4.tar.gz(r-4.7-x86_64)copCAR_2.0-4.tar.gz(r-4.6-arm64)copCAR_2.0-4.tar.gz(r-4.6-x86_64)
copCAR_2.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
copCAR/json (API)

# Install 'copCAR' in R:
install.packages('copCAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 4 scripts 263 downloads 4 exports 32 dependencies

Last updated from:490808ecf6. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE169
linux-devel-x86_64NOTE127
source / vignettesOK178
linux-release-arm64NOTE127
linux-release-x86_64NOTE123
wasm-releaseOK116

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdotCall64ellipseevaluatefftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivotelpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootspamtestthatwaldowithr