gomp: The gamma-OMP Feature Selection Algorithm
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>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | doParallel,foreach,Hmisc,MASS,nnet,ordinal, parallel,quantreg,Rfast,Rfast2, stats,survival |
| Suggests: | dcorVS |
| Published: | 2025-01-20 |
| DOI: | 10.32614/CRAN.package.gomp |
| 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: | gomp results |
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