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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
|
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.
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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