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fEGarch

1.0.6

SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions

0packages depend
4.6Kdownloads / year
47.9%test coverage
13/13checks pass

Overview

About
Maintained by Dominik SchulzFirst published 2025-06-117 releasesCRAN page ↗

Implement and fit a variety of short-memory (SM) and long-memory (LM) models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) https://econpapers.repec.org/paper/pdnciepap/156.htm. For convenience and the purpose of comparison, a variety of other popular SM and LM GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented as well as dual models with simultaneous modelling of the mean, including dual long-memory models with a fractionally integrated autoregressive moving average (FARIMA) model in the mean and a long-memory model in the variance, and semiparametric volatility model extensions. Parametric models and parametric model parts are fitted through quasi-maximum-likelihood estimation. Furthermore, common forecasting and backtesting functions for value-at-risk (VaR) and expected shortfall (ES) based on the package's models are provided.

Install

Health

CRAN checks
13OK
Slowest check: 16.4 min · r-patched-linux-x86_64
Code health
Yes
Tests · ratio 0.09
47.9%
Coverage · measured lines
99%
Documentation · exports
16
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,855 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
98%
Documented parameters
79%
Return-value docs
100%
References docs
25%

Downloads

4.6K
CRAN downloads in the past year
Rank #10,032 · ~12/day · ~380/mo
Daily download trend is not available in this view yet.
21530 days
95490 days
4.6K1 year
Compare downloads with other packages →
Also on634 r2u19 autocran

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5methods
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Contributors (3)
Contributor
Contributor
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.6Latest
    2026-02-10 · current release · diff ↗
  • 1.0.5
    2026-02-02 · diff ↗
  • 1.0.4
    2026-01-08 · diff ↗
  • 1.0.3
    2025-11-07 · diff ↗
  • 1.0.2
    2025-09-11 · diff ↗
  • 1.0.1
    2025-06-20 · diff ↗
  • 1.0.0
    2025-06-11
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-06-11
Total releases
7 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
58 KB / 2 files
Download size
515 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fEGarch")
Schulz, D., Ayensu, O. K., Feng, Y., Gries, T., Li, S., Peitz, C., & Siddiqui, S. (2026). fEGarch: SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions (Version 1.0.6) [Computer software]. https://doi.org/10.32614/CRAN.package.fEGarch

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 fEGarch version 1.0.6 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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