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dccmidas

0.1.3Package record

DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models

0packages depend
3.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Estimates a variety of Dynamic Conditional Correlation (DCC) models. More in detail, the 'dccmidas' package allows the estimation of the corrected DCC (cDCC) of Aielli (2013) doi:10.1080/07350015.2013.771027, the DCC-MIDAS of Colacito et al. (2011) doi:10.1016/j.jeconom.2011.02.013, the Asymmetric DCC of Cappiello et al. doi:10.1093/jjfinec/nbl005, and the Dynamic Equicorrelation (DECO) of Engle and Kelly (2012) doi:10.1080/07350015.2011.652048. 'dccmidas' offers the possibility of including standard GARCH doi:10.1016/0304-4076(86)90063-1, GARCH-MIDAS doi:10.1162/REST_a_00300 and Double Asymmetric GARCH-MIDAS doi:10.1016/j.econmod.2018.07.025 models in the univariate estimation. Moreover, also the scalar and diagonal BEKK doi:10.1017/S0266466600009063 models can be estimated. Finally, the package calculates also the var-cov matrix under two non-parametric models: the Moving Covariance and the RiskMetrics specifications.

Changes in 0.1.3
  • Fixed bugs in the estimation routines. Thanks to Matthias Fengler for reporting the issue and for his helpful suggestions.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-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 0.1.3
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.1.3Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
30 (18 internal)
Examples that run
50%6 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
20%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
70% with a bibliography file

Downloads

3.3K
CRAN downloads in the past year
Rank #8,535 · ~9/day · ~272/mo
Daily download trend is not available in this view yet.
47730 days
1.1K90 days
3.3K1 year
Compare downloads with other packages →
Also on474 r2u8 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing dccmidas adds 47 packages (30 with compiled code, 25 MB of source tarballs). Heaviest: mclust 2.7 MB, rugarch 2.6 MB, nloptr 2.1 MB.

Depends (1)
R >= 4.0.0
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2021)
Releases (3)

Pick two releases to compare their code metrics.

  • 0.1.3Latest
    record
    2026-09-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2024-02-21 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    record
    2021-03-15
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-15
Total releases
3 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
282 KB / 4 files
Download size
343 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dccmidas")

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 dccmidas version 0.1.3 [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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