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
Insights
Last 30 days
This package has been downloaded 119 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,723 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends4 packages