Package: gomp
Type: Package
Title: The gamma-OMP Feature Selection Algorithm
Version: 1.1
Date: 2026-03-27
Authors@R: person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr")
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: doParallel, foreach, Hmisc, MASS, nnet, ordinal, parallel,
        quantreg, rangen, Rfast, stats, survival
Suggests: dcorVS, Rfast2
Description: The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-27 08:36:42 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-27 16:00:10 UTC
Built: R 4.6.0; ; 2026-04-25 13:43:07 UTC; unix
