Multiple Approximate Kernel Learning (MAKL)
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Overview
About
Maintained by Ayyüce Begüm BektaşCRAN page ↗
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
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)
- makl_example HTML
Downloads
2.3K
CRAN downloads in the past year
Rank #19,639 · ~6/day · ~191/mo
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28330 days
67190 days
2.3K1 year
Also on66 r2u2 autocran
Dependencies
Code & Tests
People & History
People (2)
Author, Maintainer since 1.0.0 (2022)
Author
Releases (2)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.1Latest
- RR 4.2.0 released · 2022-04-22
- 1.0.02022-01-17
- RR 4.1.0 released · 2021-05-18
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Package metadata
- First published
- 2022-01-17
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 11 KB
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