Package: weightedCL 0.5

Aristidis K. Nikoloulopoulos

weightedCL: Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models

Estimates high-dimensional multivariate normal copula regression models with the weighted composite likelihood estimating equations in Nikoloulopoulos (2022) <arxiv:2203.04619>. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.

Authors:Aristidis K. Nikoloulopoulos [aut, cre]

weightedCL_0.5.tar.gz
weightedCL_0.5.tar.gz(r-4.5-noble)weightedCL_0.5.tar.gz(r-4.4-noble)
weightedCL_0.5.tgz(r-4.4-emscripten)weightedCL_0.5.tgz(r-4.3-emscripten)
weightedCL.pdf |weightedCL.html
weightedCL/json (API)

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

Peer review:

Datasets:
  • polio - Polio cases in USA from Jan 1970 till Dec 1983
  • sleep - Infant sleep status data

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

1.00 score 133 downloads 15 exports 33 dependencies

Last updated 2 years agofrom:2792a84df5. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linux-x86_64OKNov 09 2024

Exports:clcl.orddmargmodeldmargmodel.ordgodambegodambe.ordieeiee.ordpbvtpmargmodelpmargmodel.ordwclwcl.ordweightMatweightMat.ord

Dependencies:clicolorspacefansifarverggplot2gluegoftestgridExtragtableisobandlabelinglatticelifecyclemagrittrMASSmatlabMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangrootSolvescalessuretibbleutf8vctrsviridisLitewithr