MAKL: Multiple Approximate Kernel Learning (MAKL)

Fits multiple approximate kernel learning (MAKL) models that are scalable, efficient and interpretable.

Version: 1.0.0
Imports: AUC, grplasso
Suggests: rmarkdown, knitr
Published: 2022-01-17
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_1.0.0.tar.gz
Windows binaries: r-devel: MAKL_1.0.0.zip, r-release: MAKL_1.0.0.zip, r-oldrel: MAKL_1.0.0.zip
macOS binaries: r-release (arm64): MAKL_1.0.0.tgz, r-oldrel (arm64): MAKL_1.0.0.tgz, r-release (x86_64): MAKL_1.0.0.tgz, r-oldrel (x86_64): MAKL_1.0.0.tgz

Linking:

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