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Multiple Approximate Kernel Learning (MAKL)

0packages depend
2.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in doi:10.1093/bioinformatics/btac241. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.

Install

Health

CRAN checks
13OK
Slowest check: 52 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.3K
CRAN downloads in the past year
Rank #19,639 · ~6/day · ~191/mo
Daily download trend is not available in this view yet.
28330 days
67190 days
2.3K1 year
Compare downloads with other packages →
Also on66 r2u2 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing MAKL adds 2 packages (0 with compiled code, 41 KB of source tarballs). Heaviest: grplasso 28 KB, AUC 13 KB.

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

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.0 (2022)
Releases (2)

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
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1Latest
    record
    2022-07-06 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    record
    2022-01-17
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-01-17
Total releases
2 / 4 yrs
License
GPL (>= 3) OSI
Download size
11 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MAKL")
Bektaş, A. B., & Gönen, M. (2022). MAKL: Multiple Approximate Kernel Learning (MAKL) (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MAKL

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 MAKL version 1.0.1 [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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