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
Author: Ayyüce Begüm Bektaş ORCID iD [aut, cre], Mehmet Gönen ORCID iD [aut]
Maintainer: Ayyüce Begüm Bektaş <ayyucebektas17 at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: MAKL results


Reference manual: MAKL.pdf
Vignettes: makl_example


Package source: MAKL_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.