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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=gomp
to link to this page.