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tsmarch needs flextable (through tsgarch), which CRAN will archive unless its check problems are fixed by Oct 22.

tsmarch

1.0.0Package record

Multivariate ARCH Models

0packages depend
7.3Kdownloads / year
34.0%test coverage
13/13flavors OK

Overview

About

Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) doi:10.1016/bs.host.2019.01.001.

Install

Health

CRAN checks
13OK
Slowest check: 21.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-07-05
Show 13 earlier changesHide 13 earlier changes
  • ERROR12 OK, 1 ERROR2026-07-04
  • OK13 OK2026-06-20
  • ERROR12 OK, 1 ERROR2026-06-18
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK13 OK2026-05-10
  • ERROR12 OK, 1 ERROR2026-05-08
  • OK13 OK2026-05-04
  • ERROR11 OK, 1 ERROR2026-04-30
  • OK11 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-24
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSNoCitation fileNoWebsiteYes
Help pages
37 (2 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
11%
Documented parameters
100%
Return-value docs
89%
Help pages citing references
3% with a bibliography file

Downloads

7.3K
CRAN downloads in the past year
Rank #5,725 · ~20/day · ~609/mo
Daily download trend is not available in this view yet.
50630 days
1.4K90 days
7.3K1 year
Compare downloads with other packages →
Also on392 r2u3 autocran

Repository

12Stars
1Forks
0Open issues
0Open PRs
0Releases
28Commits
1Commit identities
econometricsfinancegarchmultivariate-timeseriestime-series
28 commits · Last activity 2026-09-21 · 0% stars, 30d · Default branch at 1.0.3, ahead of CRAN 1.0.0 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
54
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-05-30 · 82026-08-05 · 12
PracticesBeta

2 development-tooling and community-health practices detected across 1 family in the upstream repository

Checks run against github.com/tsmodels/tsmarch on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
27 external dependencies (excludes base and recommended)

Installing tsmarch adds 91 packages (55 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, bslib 5.6 MB.

Depends (3)
R >= 3.5.0methodstsmethods
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0Latest
    2024-11-18 · current release
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-11-18
Total releases
1 / 2 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
584 KB / 2 files
Download size
2.3 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tsmarch")
Galanos, A. (2024). tsmarch: Multivariate ARCH Models (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.tsmarch

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tsmarch version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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