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 [aut, cre], Mehmet Gönen [aut] |
Maintainer: | Ayyüce Begüm Bektaş <ayyucebektas17 at ku.edu.tr> |
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: 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 |
Please use the canonical form https://CRAN.R-project.org/package=MAKL to link to this page.