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.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4