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>.

Version:	1.2
Depends:	R (≥ 4.0)
Imports:	Rfast, stats
Suggests:	Rfast2
Published:	2024-12-23
DOI:	10.32614/CRAN.package.epilogi
Author:	Michail Tsagris [aut, cre]
Maintainer:	Michail Tsagris <mtsagris at uoc.gr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	epilogi results

Documentation:

Reference manual:

epilogi.pdf

Downloads:

Package source:	epilogi_1.2.tar.gz
Windows binaries:	r-devel: epilogi_1.2.zip, r-release: epilogi_1.2.zip, r-oldrel: epilogi_1.2.zip
macOS binaries:	r-release (arm64): epilogi_1.2.tgz, r-oldrel (arm64): epilogi_1.2.tgz, r-release (x86_64): epilogi_1.2.tgz, r-oldrel (x86_64): epilogi_1.2.tgz
Old sources:	epilogi archive

Linking:

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