A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://cran.r-project.org/web/packages/sitar/../rmarkdown/../MAKL/index.html below:

CRAN: Package MAKL

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.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:

Please use the canonical form https://CRAN.R-project.org/package=MAKL to link to this page.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4