Genomic selection is a specialized form of marker assisted selection. The package contains functions to select important genetic markers and predict phenotype on the basis of fitted training data using integrated model framework (Guha Majumdar et. al. (2019) <doi:10.1089/cmb.2019.0223>) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) <doi:10.1111/j.1467-9868.2009.00718.x>) and one non-additive (hsic lasso by Yamada et. al. (2014) <doi:10.1162/NECO_a_00537>) model.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5) |
| Imports: | SAM, penalized, gdata, stats, utils |
| Published: | 2019-11-04 |
| DOI: | 10.32614/CRAN.package.GSelection |
| Author: | Sayanti Guha Majumdar, Anil Rai, Dwijesh Chandra Mishra |
| Maintainer: | Sayanti Guha Majumdar <sayanti23gm at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Agriculture |
| CRAN checks: | GSelection results |
| Reference manual: | GSelection.pdf |
| Package source: | GSelection_0.1.0.tar.gz |
| Windows binaries: | r-devel: GSelection_0.1.0.zip, r-release: GSelection_0.1.0.zip, r-oldrel: GSelection_0.1.0.zip |
| macOS binaries: | r-devel (arm64): GSelection_0.1.0.tgz, r-release (arm64): GSelection_0.1.0.tgz, r-oldrel (arm64): GSelection_0.1.0.tgz, r-devel (x86_64): GSelection_0.1.0.tgz, r-release (x86_64): GSelection_0.1.0.tgz, r-oldrel (x86_64): GSelection_0.1.0.tgz |
| Reverse suggests: | UBayFS |
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