Package: weightedCL 0.7

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 (2023) <doi:10.1016/j.csda.2022.107654>. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.

Authors:Aristidis K. Nikoloulopoulos [aut, cre]

weightedCL_0.7.tar.gz
weightedCL_0.7.tar.gz(r-4.7-arm64)weightedCL_0.7.tar.gz(r-4.7-x86_64)weightedCL_0.7.tar.gz(r-4.6-arm64)weightedCL_0.7.tar.gz(r-4.6-x86_64)
weightedCL_0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
weightedCL/json (API)

# Install 'weightedCL' in R:
install.packages('weightedCL', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • polio - Polio cases in USA from Jan 1970 till Dec 1983
  • sleep - Infant sleep status data

On CRAN:

Conda:

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

1.00 score 608 downloads 15 exports 23 dependencies

Last updated from:86448e166d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK116
source / vignettesOK158
linux-release-arm64OK116
linux-release-x86_64OK115
wasm-releaseOK108

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

Dependencies:clicpp11farverggplot2gluegoftestgridExtragtableisobandlabelinglifecycleMASSmatlabR6RColorBrewerrlangrootSolveS7scalessurevctrsviridisLitewithr