Package: MAKL 1.0.1

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.

Authors:Ayyüce Begüm Bektaş [aut, cre], Mehmet Gönen [aut]

MAKL_1.0.1.tar.gz
MAKL_1.0.1.zip(r-4.5)MAKL_1.0.1.zip(r-4.4)MAKL_1.0.1.zip(r-4.3)
MAKL_1.0.1.tgz(r-4.4-any)MAKL_1.0.1.tgz(r-4.3-any)
MAKL_1.0.1.tar.gz(r-4.5-noble)MAKL_1.0.1.tar.gz(r-4.4-noble)
MAKL_1.0.1.tgz(r-4.4-emscripten)MAKL_1.0.1.tgz(r-4.3-emscripten)
MAKL.pdf |MAKL.html
MAKL/json (API)

# Install 'MAKL' in R:
install.packages('MAKL', repos = c('https://begumbektas.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.00 score 2 dependencies 2 scripts 181 downloads

Last updated 2 years agofrom:99aaca08ba. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:makl_testmakl_train

Dependencies:AUCgrplasso

A Short Introduction to MAKL Package

Rendered frommakl_example.Rmdusingknitr::rmarkdownon Aug 26 2024.

Last update: 2022-07-06
Started: 2022-01-17