Package: copCAR 2.0-4

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.zip(r-4.7)copCAR_2.0-4.zip(r-4.6)copCAR_2.0-4.zip(r-4.5)
copCAR_2.0-4.tgz(r-4.6-x86_64)copCAR_2.0-4.tgz(r-4.6-arm64)copCAR_2.0-4.tgz(r-4.5-x86_64)copCAR_2.0-4.tgz(r-4.5-arm64)
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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://drjphughesjr.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 190 downloads 4 exports 31 dependencies

Last updated from:490808ecf6. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE134
linux-devel-x86_64NOTE157
source / vignettesOK169
linux-release-arm64NOTE137
linux-release-x86_64NOTE127
macos-release-arm64NOTE113
macos-release-x86_64NOTE230
macos-oldrel-arm64NOTE117
macos-oldrel-x86_64NOTE272
windows-develNOTE160
windows-releaseNOTE128
windows-oldrelNOTE107
wasm-releaseOK117

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdotCall64ellipseevaluatefftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootspamtestthatwaldowithr