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.

4 exports 0.00 score 39 dependencies 4 scripts 312 downloads

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

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdigestdotCall64ellipseevaluatefansifftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivpillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RcppRcppArmadillorematch2rlangrprojrootspamtestthattibbleutf8vctrswaldowithr