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'))

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 2 scripts 126 downloads 2 exports 2 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 25 2024
R-4.5-win	OK	Oct 25 2024
R-4.5-linux	OK	Oct 25 2024
R-4.4-win	OK	Oct 25 2024
R-4.4-mac	OK	Oct 25 2024
R-4.3-win	OK	Oct 25 2024
R-4.3-mac	OK	Oct 25 2024