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
 [aut, cre],
Mehmet Gönen
[aut] |
| Maintainer: | Ayyüce Begüm Bektaş <ayyucebektas17 at ku.edu.tr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | MAKL results |
Documentation:
| Reference manual: | MAKL.html , MAKL.pdf |
| Vignettes: |
makl_example (source, R code) |
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:
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