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LocalCop (version 0.0.2)

Local Likelihood Inference for Conditional Copula Models

Description

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.

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Install

install.packages('LocalCop')

Monthly Downloads

174

Version

0.0.2

License

GPL-3

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Maintainer

Martin Lysy

Last Published

September 12th, 2024

Functions in LocalCop (0.0.2)

LocalCop-package

Local likelihood inference for conditional copula models.
KernWeight

Calculate local likelihood kernel weights.
CondiCopLocFit

Local likelihood estimation.
CondiCopLikCV

Cross-validated likelihood.
KernFun

Local likelihood kernel functions.
ConvertPar

Conversions between various bivariate copula parametrizations.
CondiCopLocFun

Create a TMB local likelihood function.
CondiCopSelect

Local likelihood bandwidth and/or family selection.