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rumidas

0.1.3Package record

Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS

2packages depend
3.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007) doi:10.1080/07474930600972467) components to a variety of GARCH and MEM (Engle (2002) doi:10.1002/jae.683, Engle and Gallo (2006) doi:10.1016/j.jeconom.2005.01.018, and Amendola et al. (2024) doi:10.1016/j.seps.2023.101764) models, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. 'rumidas' also offers a summary tool, which synthesizes the main information of the estimated model. There is also the possibility of generating one-step-ahead and multi-step-ahead forecasts.

Changes in 0.1.3
  • Fixed bugs.
  • Introduced the GM with two low-frequency variables ("GM2M").

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • 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
73 (62 internal)
Examples that run
10%6 run in a plain check · 53 only when donttest examples are enabled (R CMD check --as-cran) · 2 hold no code
Exported functions with examples
89%
Documented parameters
98%
Return-value docs
97%
Help pages citing references
89% with a bibliography file

Downloads

3.7K
CRAN downloads in the past year
Rank #15,177 · ~10/day · ~311/mo
Daily download trend is not available in this view yet.
32430 days
79590 days
3.7K1 year
Compare downloads with other packages →
Also on79 r2u4 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing rumidas adds 22 packages (15 with compiled code, 12 MB of source tarballs). Heaviest: Rcpp 1.8 MB, sandwich 1.4 MB, rbibutils 1.1 MB.

Depends (2)
R >= 4.0.0maxLik
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2020)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.3Latest
    record
    2025-03-18 · current release · diff ↗ ·
    added 6 exports
    GM_2M_cond_vol, GM_2M_cond_vol_no_skew, GM_2M_loglik, GM_2M_loglik_no_skew, GM_2M_long_run_vol, GM_2M_long_run_vol_no_skew
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2024-02-17 · diff ↗ ·
    added 6 exports
    DAGM_2M_cond_vol, DAGM_2M_cond_vol_no_skew, DAGM_2M_loglik, DAGM_2M_loglik_no_skew, DAGM_2M_long_run, DAGM_2M_long_run_no_skew
  • 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
  • 0.1.1
    record
    2021-02-01 · diff ↗ ·
    added 24 exports
    DAGM_X_cond_vol, DAGM_X_cond_vol_no_skew, DAGM_X_loglik, DAGM_X_loglik_no_skew, DAGM_X_long_run_vol, DAGM_X_long_run_vol_no_skew, GM_X_cond_vol, GM_X_cond_vol_no_skew, GM_X_loglik, GM_X_loglik_no_skew, GM_X_long_run_vol, GM_X_long_run_vol_no_skew, MEM_MIDAS_X_loglik, MEM_MIDAS_X_loglik_no_skew, MEM_MIDAS_X_lr_pred, MEM_MIDAS_X_lr_pred_no_skew, MEM_MIDAS_X_pred, MEM_MIDAS_X_pred_no_skew, MEM_X_loglik, MEM_X_loglik_no_skew, MEM_X_pred, MEM_X_pred_no_skew, exp_almon, multi_step_ahead_pred
  • 0.1.0
    record
    2020-09-22
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-22
Total releases
4 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
151 KB / 4 files
Download size
276 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rumidas")

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 rumidas version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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