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 <emily.goren@gmail.com> and John Hughes <drjphughesjr@gmail.com>

copCAR_2.0-4.tar.gz
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 = '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.

fortranopenblascpp

1.00 score 307 downloads 4 exports 32 dependencies

Last updated 4 years agofrom:490808ecf6. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-linux-x86_64NOTEMar 21 2025
R-4.4-linux-x86_64NOTEMar 21 2025

Exports:adjacency.matrixcopCARnegbinomialrcopCAR

Dependencies:briocallrclicrayondescdiffobjdigestdotCall64ellipseevaluatefftwtoolsfsgluejsonlitelifecyclemagrittrmcmcsenumDerivpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojrootspamtestthatwaldowithr

Citation

This work was partially supported by a grant from the National Cancer Institute, National Institutes of Health (R03 CA179555).

Emily Goren and John Hughes. (2021). copCAR: Fitting the copCAR regression model for discrete areal data. R package version 2.0-4. Frederick, MD.

Corresponding BibTeX entry: 

  @Manual{,
    title = {copCAR: Fitting the copCAR regression model for discrete
      areal data},
    author = {Emily Goren and John Hughes},
    year = {2021},
    address = {Frederick, MD},
    note = {R package version 2.0-4},
  }