Package: xdcclarge 0.1.0

xdcclarge: Estimating a (c)DCC-GARCH Model in Large Dimensions

Functions for Estimating a (c)DCC-GARCH Model in large dimensions based on a publication by Engle et,al (2017) <doi:10.1080/07350015.2017.1345683> and Nakagawa et,al (2018) <doi:10.3390/ijfs6020052>. This estimation method is consist of composite likelihood method by Pakel et al. (2014) <http://paneldataconference2015.ceu.hu/Program/Cavit-Pakel.pdf> and (Non-)linear shrinkage estimation of covariance matrices by Ledoit and Wolf (2004,2015,2016). (<doi:10.1016/S0047-259X(03)00096-4>, <doi:10.1214/12-AOS989>, <doi:10.1016/j.jmva.2015.04.006>).

Authors:Kei Nakagawa [aut, cre], Mitsuyoshi Imamura [aut]

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xdcclarge.pdf |xdcclarge.html
xdcclarge/json (API)

# Install 'xdcclarge' in R:
install.packages('xdcclarge', repos = c('https://keeeeei0315.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • us_stocks - The closing price data of us stocks in SP500 index from 2006-03-31 to 2014-03-31 from yahoo finance.

On CRAN:

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

9 exports 0.00 score 5 dependencies 7 scripts 131 downloads

Last updated 6 years agofrom:a3467536f0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64OKSep 08 2024
R-4.5-linux-x86_64OKSep 08 2024
R-4.4-win-x86_64OKSep 08 2024
R-4.4-mac-x86_64OKSep 08 2024
R-4.4-mac-aarch64OKSep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:cdcc_correlationscdcc_estimationcdcc_gradientcdcc_loglikelihoodcdcc_optimdcc_correlationsdcc_estimationdcc_gradientdcc_optim

Dependencies:MASSnloptrnlshrinkRcppRcppArmadillo