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mfGARCH

0.2.2Package record

Mixed-Frequency GARCH Models

0packages depend
6.3Kdownloads / year
45.2%test coverage
13/13flavors OK

Overview

About

Estimating GARCH-MIDAS (MIxed-DAta-Sampling) models (Engle, Ghysels, Sohn, 2013, doi:10.1162/REST_a_00300) and related statistical inference, accompanying the paper "Two are better than one: Volatility forecasting using multiplicative component GARCH models" by Conrad and Kleen (2020, doi:10.1002/jae.2742). The GARCH-MIDAS model decomposes the conditional variance of (daily) stock returns into a short- and long-term component, where the latter may depend on an exogenous covariate sampled at a lower frequency.

Changes in 0.2.2
  • Minor adjustments to pass new CRAN checks

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 0.2.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
50%2 run in a plain check · 2 never run
Exported functions with examples
80%
Documented parameters
99%
Return-value docs
20%
Help pages citing references
0%

Downloads

6.3K
CRAN downloads in the past year
Rank #6,440 · ~17/day · ~529/mo
Daily download trend is not available in this view yet.
51630 days
1.3K90 days
6.3K1 year
Compare downloads with other packages →
Also on358 r2u4 autocran

Repository

75Stars
29Forks
4Open issues
0Open PRs
8Releases
196Commits
1Commit identities
196 commits · Last activity 2026-01-13 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
37
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-05-25 · 702026-07-14 · 75
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/onnokleen/mfgarch on 2026-10-18.

Continuous integration (1)
Travis CI (config file)
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing mfGARCH adds 8 packages (3 with compiled code, 5.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, sandwich 1.4 MB, maxLik 791 KB.

Depends (1)
R >= 3.3.0
Imports (6)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.2 (2018)
Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2Latest
    record
    2026-01-13 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.1
    record
    2021-06-17 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.0
    record
    2020-05-13 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.9
    record
    2019-12-04 · diff ↗
  • 0.1.8
    record
    2019-07-30 · diff ↗ ·
    added 1 export
    simulate_mfgarch_rv_dependent
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.7
    record
    2018-08-06 · diff ↗
  • 0.1.5
    record
    2018-06-28 · diff ↗
  • 0.1.4
    record
    2018-06-19 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 0.1.3
    record
    2018-05-24 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.2
    record
    2018-02-19
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-02-19
Total releases
10 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
432 KB / 2 files
Download size
443 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mfGARCH")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 mfGARCH version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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