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gomp

The gamma-OMP Feature Selection Algorithm

v1.0 · Jan 20, 2025 · GPL (>= 2)

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>.

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ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘Rfast2’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘Rfast2’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Dependency Network

Dependencies Reverse dependencies doParallel foreach Hmisc MASS nnet ordinal quantreg Rfast Rfast2 survival gomp

Version History

new 1.0 Mar 9, 2026