bayesDccGarch: Methods and Tools for Bayesian Dynamic Conditional Correlation GARCH(1,1) Model

Bayesian estimation of dynamic conditional correlation GARCH model for multivariate time series volatility (Fioruci, J.A., Ehlers, R.S. and Andrade-Filho, M.G., (2014). <doi:10.1080/02664763.2013.839635>.

Package details

AuthorJose Augusto Fiorucci [aut, cre, cph] (<https://orcid.org/0000-0002-1201-9089>), Ricardo Sanders Ehlers [aut, cph] (<https://orcid.org/0000-0001-9034-5173>), Francisco Louzada [aut, cph] (<https://orcid.org/0000-0001-7815-9554>)
MaintainerJose Augusto Fiorucci <jafiorucci@gmail.com>
LicenseGPL (>= 2)
Version3.0.4
URL https://ui.adsabs.harvard.edu/abs/2014arXiv1412.2967F/abstract
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayesDccGarch")

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bayesDccGarch documentation built on April 22, 2023, 9:08 a.m.