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madgrad

0.2.0Package record

'MADGRAD' Method for Stochastic Optimization

0packages depend
3.2Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with the generalization performance of stochastic gradient descent and at least as fast convergence as that of Adam, often faster. A drop-in optim_madgrad() implementation is provided based on Defazio et al (2020) doi:10.48550/arXiv.2101.11075.

Changes in 0.2.0
  • Changed maintainer email address.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-06
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 103 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.2K
CRAN downloads in the past year
Rank #12,737 · ~9/day · ~268/mo
Daily download trend is not available in this view yet.
31030 days
88490 days
3.2K1 year
Compare downloads with other packages →
Also on83 r2u5 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing madgrad adds 24 packages (12 with compiled code, 11 MB of source tarballs). Heaviest: torch 1.9 MB, Rcpp 1.8 MB, farver 1.2 MB.

Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2021), Copyright holder
Copyright holder · added in 0.2.0
Listed in earlier versions (1)
RStudio
no longer listed · 0.1.0
Releases (2)

Pick two releases to compare their code metrics.

  • 0.2.0Latest
    record
    2026-04-29 · 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
  • 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
    2021-05-10
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-05-10
Total releases
2 / 5 yrs
License
MIT + file LICENSE OSI
Download size
57 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("madgrad")
Falbel, D., MADGRAD original implementation authors., , & Posit Software, PBC, . (2026). madgrad: 'MADGRAD' Method for Stochastic Optimization (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.madgrad

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 madgrad version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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