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-4.7-any)MAKL_1.0.1.zip(r-4.6-any)MAKL_1.0.1.zip(r-4.5-any)
MAKL_1.0.1.tgz(r-4.6-any)MAKL_1.0.1.tgz(r-4.5-any)
MAKL_1.0.1.tar.gz(r-4.7-any)MAKL_1.0.1.tar.gz(r-4.6-any)
MAKL_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MAKL/json (API)

# Install 'MAKL' in R:

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

On CRAN:

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

2.00 score 295 downloads 2 exports 2 dependencies

Last updated from:99aaca08ba. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	98
source / vignettes	OK	186
linux-release	OK	96
macos-release	OK	159
macos-oldrel	OK	194
windows-devel	OK	64
windows-release	OK	58
windows-oldrel	OK	58
wasm-release	OK	79