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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7 |
rolling linux/jammy R-4.5 | weightedCL_0.7.tar.gz |
123.9 KiB |
0.7 |
rolling linux/noble R-4.5 | weightedCL_0.7.tar.gz |
123.9 KiB |
0.7 |
rolling source/ R- | weightedCL_0.7.tar.gz |
25.8 KiB |
0.7 |
latest linux/jammy R-4.5 | weightedCL_0.7.tar.gz |
123.9 KiB |
0.7 |
latest linux/noble R-4.5 | weightedCL_0.7.tar.gz |
123.9 KiB |
0.7 |
latest source/ R- | weightedCL_0.7.tar.gz |
25.8 KiB |
0.7 |
2026-04-26 source/ R- | weightedCL_0.7.tar.gz |
25.8 KiB |
0.7 |
2026-04-23 source/ R- | weightedCL_0.7.tar.gz |
25.8 KiB |
0.7 |
2026-04-09 windows/windows R-4.5 | weightedCL_0.7.zip |
131.2 KiB |
0.5 |
2025-04-20 source/ R- | weightedCL_0.5.tar.gz |
25.8 KiB |