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MAKL: Multiple Approximate Kernel Learning (MAKL)

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.

Version: 1.0.1
Imports: AUC, grplasso
Suggests: rmarkdown, knitr
Published: 2022-07-06
DOI: 10.32614/CRAN.package.MAKL
Author: Ayyüce Begüm Bektaş ORCID iD [aut, cre], Mehmet Gönen ORCID iD [aut]
Maintainer: Ayyüce Begüm Bektaş <ayyucebektas17 at ku.edu.tr>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: MAKL results

Documentation:

Reference manual: MAKL.pdf
Vignettes: makl_example

Downloads:

Package source: MAKL_1.0.1.tar.gz
Windows binaries: r-devel: MAKL_1.0.1.zip, r-release: MAKL_1.0.1.zip, r-oldrel: MAKL_1.0.1.zip
macOS binaries: r-release (arm64): MAKL_1.0.1.tgz, r-oldrel (arm64): MAKL_1.0.1.tgz, r-release (x86_64): MAKL_1.0.1.tgz, r-oldrel (x86_64): MAKL_1.0.1.tgz
Old sources: MAKL archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MAKL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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