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) doi:10.48550/arXiv.2203.04619. It provides autoregressive moving average correlation structures and binary, ordinal, Poisson, and negative binomial regressions.
- Version0.5
- R versionunknown
- Needs compilation?Yes
- Last release10/10/2022
Team
Aristidis K. Nikoloulopoulos
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- Depends4 packages