tsmarch

Feasible Multivariate GARCH Models

https://github.com/tsmodels/tsmarch

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary

Keywords

econometrics finance garch multivariate-timeseries time-series
Last synced: 6 months ago · JSON representation

Repository

Feasible Multivariate GARCH Models

Basic Info
  • Host: GitHub
  • Owner: tsmodels
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 1.55 MB
Statistics
  • Stars: 8
  • Watchers: 1
  • Forks: 0
  • Open Issues: 1
  • Releases: 0
Topics
econometrics finance garch multivariate-timeseries time-series
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme Changelog

README.md

tsmarch

R-CMD-check Last-changedate packageversion CRAN_Status_Badge

tsmarch

The tsmarch package represents a re-write and re-think of the models in rmgarch. It is written using simpler S3 methods and classes, has a cleaner code base, extensive documentation and unit tests, provides speed gains by making use of parallelization in both R (via the future package) and in the C++ code (via RcppParallel package), and works with the new univariate GARCH package tsgarch.

Installation

The package can be installed from CRAN or the tsmodels github repo:

r install.package("tsmarch") remotes::install_github("tsmodels/tsmarch", dependencies = TRUE)

The online vignette with a demo is available here.

Some notes on the ICA based algorithms used in the GOGARCH model are available in a blog post.

Owner

  • Name: tsmodels framework
  • Login: tsmodels
  • Kind: organization

A framework for time series forecasting models

GitHub Events

Total
  • Issues event: 5
  • Watch event: 7
  • Issue comment event: 4
  • Public event: 1
  • Push event: 13
Last Year
  • Issues event: 5
  • Watch event: 7
  • Issue comment event: 4
  • Public event: 1
  • Push event: 13

Packages

  • Total packages: 1
  • Total downloads:
    • cran 588 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: tsmarch

Multivariate ARCH Models

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 588 Last month
Rankings
Dependent packages count: 27.8%
Dependent repos count: 34.2%
Average: 49.7%
Downloads: 87.0%
Maintainers (1)
Last synced: 7 months ago

Dependencies

.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 3.5.0 depends
  • methods * depends
  • tsmethods >= 1.0.2 depends
  • Rcpp * imports
  • RcppBessel * imports
  • RcppParallel * imports
  • Rdpack * imports
  • Rsolnp * imports
  • abind * imports
  • data.table * imports
  • future * imports
  • future.apply * imports
  • lubridate * imports
  • nloptr * imports
  • numDeriv * imports
  • sandwich * imports
  • shape * imports
  • stats * imports
  • tsdistributions >= 1.0.2 imports
  • tsgarch >= 1.0.3 imports
  • utils * imports
  • xts * imports
  • zoo * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests
  • tstests * suggests
.github/workflows/rcmdcheck.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
  • r-lib/actions/setup-tinytex v2 composite