Package: BEKKs
Title: Multivariate Conditional Volatility Modelling and Forecasting
Version: 1.4.3
Author: Markus J. Fülle [aut, cre],
  Alexander Lange [aut],
  Christian M. Hafner [aut],
  Helmut Herwartz [aut]
Authors@R: 
    c(person("Markus J.",
            "Fülle",
           role = c("aut", "cre"),
           email = "fuelle@uni-goettingen.de"),
           person("Alexander", "Lange", 
          role = c("aut"),
          email = "alexander.lange@uni-goettingen.de"),
      person("Christian M.", "Hafner", 
           role = c("aut"), 
           email = "christian.hafner@uclouvain.be"),
      person("Helmut", "Herwartz", 
           role = c("aut"), 
           email = "hherwartz@uni-goettingen.de"))
Maintainer: Markus J. Fülle <fuelle@uni-goettingen.de>
Description: Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>. 
Depends: R (>= 3.5.0)
Imports: Rcpp, reshape2, ggplot2, mathjaxr, gridExtra, grid, ggfortify,
        parallel, xts, stats, future, forecast, future.apply, GAS, ks,
        lubridate, utils, pbapply, numDeriv, moments
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: C++17
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0)
RdMacros: mathjaxr
RoxygenNote: 7.1.2
Packaged: 2023-03-24 20:10:55 UTC; Markus
Repository: CRAN
Date/Publication: 2023-03-26 11:00:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:08:46 UTC; windows
Archs: i386, x64
