Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast BerndtâHallâHallâHausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>. For an overview, we refer the reader to Fülle et al. (2024) <doi:10.18637/jss.v111.i04>.
Version: 1.4.5 Depends: R (≥ 3.5.0) Imports: Rcpp, reshape2, ggplot2, mathjaxr, gridExtra, grid, ggfortify, parallel, xts, stats, future, future.apply, GAS, ks, lubridate, utils, pbapply, numDeriv, moments LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (≥ 2.1.0) Published: 2024-11-25 DOI: 10.32614/CRAN.package.BEKKs Author: Markus J. Fülle [aut, cre], Alexander Lange [aut], Christian M. Hafner [aut], Helmut Herwartz [aut] Maintainer: Markus J. Fülle <markus.fuelle at gmail.com> License: MIT + file LICENSE NeedsCompilation: yes SystemRequirements: C++17 Citation: BEKKs citation info CRAN checks: BEKKs results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BEKKs to link to this page.
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