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fasta

0.1.0Package record

Fast Adaptive Shrinkage/Thresholding Algorithm

0packages depend
6.2Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in Goldstein, Studer, and Baraniuk (2016) arXiv:1411.3406. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) doi:10.1137/080716542 and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) doi:10.1109/TSP.2009.2016892 are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Eric C. Chi <ecchi1105@gmail.com>’

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

The Description field contains
  Studer, and Baraniuk (2016) <arXiv:1411.3406>. Schemes such as Fast
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 39 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot 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
0%
Help pages citing references
0%

Downloads

6.2K
CRAN downloads in the past year
Rank #12,595 · ~17/day · ~514/mo
Daily download trend is not available in this view yet.
28730 days
89690 days
6.2K1 year
Compare downloads with other packages →
Also on66 r2u7 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing fasta adds no packages beyond those that come with R.

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

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2018), Translator, Copyright holder
Author
MATLAB original, https://www.cs.umd.edu/~tomg/projects/fasta/
Listed in earlier versions (2)
Baraniuk
no longer listed · 0.1.0
Chi
no longer listed · 0.1.0
Releases (1)
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0Latest
    2018-04-10 · current release
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-04-10
Total releases
1 / 8 yrs
License
MIT + file LICENSE OSI
Download size
4.8 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("fasta")

The package provides a citation file, so citation() returns the authors' own entry.

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 fasta version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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