Efficient and Feasible Inference for High-Dimensional Normal Copula Regression Models
Overview
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.
Install
Health
NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
File ‘weightedCL/libs/weightedCL.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
- NOTE11 OK, 2 NOTE2026-06-08
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-07
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 60%6 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 82%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.7Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.52022-10-10
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-10-10
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.0 KB / 2 files
- Download size
- 25 KB
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