The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Genomic Selection (GS) is a latest development in animal and plant breeding where whole genome markers information is used to predict genetic merit of an individuals in a practical breeding programme. GS is one of the promising tool for improving genetic gain in animal and plants in today’s scenario. This package is basically developed for genomic predictions by estimating marker effects. These marker effects further used for calculation of genotypic merit of individual i.e. genome estimated breeding values (GEBVs). Genomic selection may be based on single trait or multi traits information. This package performs genomic selection only for single traits hence named as STGS i.e. single trait genomic selection. STGS is a comprehensive package which gives single step solution for genomic selection based on most commonly used statistical methods.
Version: | 0.1.0 |
Depends: | R (≥ 3.6) |
Imports: | glmnet, brnn, kernlab, randomForest, rrBLUP |
Published: | 2019-10-24 |
DOI: | 10.32614/CRAN.package.STGS |
Author: | Neeraj Budhlakoti, D C Mishra, Anil Rai, K K Chaturvedi |
Maintainer: | Neeraj Budhlakoti <neeraj35669 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
In views: | Agriculture |
CRAN checks: | STGS results [issues need fixing before 2025-01-12] |
Reference manual: | STGS.pdf |
Package source: | STGS_0.1.0.tar.gz |
Windows binaries: | r-devel: STGS_0.1.0.zip, r-release: STGS_0.1.0.zip, r-oldrel: STGS_0.1.0.zip |
macOS binaries: | r-release (arm64): STGS_0.1.0.tgz, r-oldrel (arm64): STGS_0.1.0.tgz, r-release (x86_64): STGS_0.1.0.tgz, r-oldrel (x86_64): STGS_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=STGS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.