Package: epilogi 1.2

Michail Tsagris

epilogi: The 'epilogi' Variable Selection Algorithm for Continuous Data

The 'epilogi' variable selection algorithm is implemented for the case of continuous response and predictor variables. The relevant paper is: Lakiotaki K., Papadovasilakis Z., Lagani V., Fafalios S., Charonyktakis P., Tsagris M. and Tsamardinos I. (2023). "Automated machine learning for Genome Wide Association Studies". Bioinformatics, 39(9): btad545. <doi:10.1093/bioinformatics/btad545>.

Authors:Michail Tsagris [aut, cre]

epilogi_1.2.tar.gz
epilogi_1.2.tar.gz(r-4.5-noble)epilogi_1.2.tar.gz(r-4.4-noble)
epilogi_1.2.tgz(r-4.4-emscripten)epilogi_1.2.tgz(r-4.3-emscripten)
epilogi.pdf |epilogi.html
epilogi/json (API)

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

Peer review:

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

1.30 score 145 downloads 2 exports 6 dependencies

Last updated 2 days agofrom:860b888d7d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 23 2024
R-4.5-linuxOKDec 23 2024

Exports:epilogipcor.equiv

Dependencies:RcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast