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-4.5)copCAR_2.0-4.zip(r-4.4)copCAR_2.0-4.zip(r-4.3)
copCAR_2.0-4.tgz(r-4.4-x86_64)copCAR_2.0-4.tgz(r-4.4-arm64)copCAR_2.0-4.tgz(r-4.3-x86_64)copCAR_2.0-4.tgz(r-4.3-arm64)
copCAR_2.0-4.tar.gz(r-4.5-noble)copCAR_2.0-4.tar.gz(r-4.4-noble)
copCAR_2.0-4.tgz(r-4.4-emscripten)copCAR_2.0-4.tgz(r-4.3-emscripten)
copCAR.pdf |copCAR.html
copCAR/json (API)

# Install 'copCAR' in R:
install.packages('copCAR', repos = c('https://drjphughesjr.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

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

fortranopenblascpp

1.00 score 4 scripts 215 downloads 4 exports 32 dependencies

Last updated 4 years agofrom:490808ecf6. Checks:4 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 06 2025
R-4.5-win-x86_64NOTEJan 06 2025
R-4.5-linux-x86_64NOTEJan 06 2025
R-4.4-win-x86_64NOTEJan 06 2025
R-4.4-mac-x86_64NOTEJan 06 2025
R-4.4-mac-aarch64NOTEJan 06 2025
R-4.3-win-x86_64OKJan 06 2025
R-4.3-mac-x86_64OKJan 06 2025
R-4.3-mac-aarch64OKJan 06 2025

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdigestdotCall64ellipseevaluatefftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootspamtestthatwaldowithr