weightedCL
0.7Efficient 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
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE2026-06-0811 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0710 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 70%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 82%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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