LocalCop
Local Likelihood Inference for Conditional Copula Models
Implements a local likelihood estimator for the dependence parameter in bivariate conditional copula models. Copula family and local likelihood bandwidth parameters are selected by leave-one-out cross-validation. The models are implemented in 'TMB', meaning that the local score function is efficiently calculated via automated differentiation (AD), such that quasi-Newton algorithms may be used for parameter estimation.
- Version0.0.2
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/12/2024
Documentation
Team
Martin Lysy
Elif Fidan Acar
Show author detailsRolesAuthorAlan Kuchinsky
Show author detailsRolesContributor
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Last 30 days
This package has been downloaded 148 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 6 times.
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Last 365 days
This package has been downloaded 2,110 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 03, 2025 with 27 downloads.
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Dependencies
- Imports2 packages
- Suggests9 packages
- Linking To2 packages