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.

1.00 score 4 scripts 245 downloads 4 exports 32 dependencies

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

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdigestdotCall64ellipseevaluatefftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootspamtestthatwaldowithr