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.
| Version: | 0.0.2 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | TMB (≥ 1.7.20), VineCopula | 
| LinkingTo: | TMB, RcppEigen | 
| Suggests: | testthat, parallel, knitr, rmarkdown, bookdown, kableExtra, dplyr, readr, tidyr, ggplot2 | 
| Published: | 2024-09-12 | 
| DOI: | 10.32614/CRAN.package.LocalCop | 
| Author: | Elif Fidan Acar [aut],
  Martin Lysy [aut, cre],
  Alan Kuchinsky [ctb] | 
| Maintainer: | Martin Lysy  <mlysy at uwaterloo.ca> | 
| BugReports: | https://github.com/mlysy/LocalCop/issues | 
| License: | GPL-3 | 
| URL: | https://github.com/mlysy/LocalCop,
https://mlysy.github.io/LocalCop/ | 
| NeedsCompilation: | yes | 
| Materials: | NEWS | 
| CRAN checks: | LocalCop results | 
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