Package: BEKKs 1.4.4

Markus J. Fülle

BEKKs: Multivariate Conditional Volatility Modelling and Forecasting

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>.

Authors:Markus J. Fülle [aut, cre], Alexander Lange [aut], Christian M. Hafner [aut], Helmut Herwartz [aut]

BEKKs_1.4.4.tar.gz
BEKKs_1.4.4.tar.gz(r-4.5-noble)BEKKs_1.4.4.tar.gz(r-4.4-noble)
BEKKs_1.4.4.tgz(r-4.4-emscripten)BEKKs_1.4.4.tgz(r-4.3-emscripten)
BEKKs.pdf |BEKKs.html
BEKKs/json (API)

# Install 'BEKKs' in R:
install.packages('BEKKs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.09 score 69 dependencies 9 scripts 558 downloads

Last updated 8 months agofrom:7f8bf39d40. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-linux-x86_64OKSep 12 2024

Exports:backtestbekk_fitbekk_specportmanteau.testVaRvirf

Dependencies:clicodetoolscolorspacecpp11cubaturedigestdplyrfansifarverFNNfuturefuture.applyGASgenericsggfortifyggplot2globalsgluegridExtragtableisobandkernlabKernSmoothkslabelinglatticelifecyclelistenvlubridatemagrittrMASSmathjaxrMatrixmclustmgcvmomentsmulticoolmunsellmvtnormnlmenumDerivparallellypbapplypillarpkgconfigplyrpracmapurrrR6RColorBrewerRcppRcppArmadilloreshape2rlangRsolnpscalesstringistringrtibbletidyrtidyselecttimechangetruncnormutf8vctrsviridisLitewithrxtszoo