Genomic Selection
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Sayanti Guha Majumdar <sayanti23gm@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Sayanti", "Guha"),
family = "Majumdar",
role = c("aut", "cre"),
email = "sayanti23gm@gmail.com"),
person(given = "Anil",
family = "Rai",
role = "aut"),
person(given = c("Dwijesh", "Chandra"),
family = "Mishra",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 9includes a package overview page
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 89%
Downloads
Dependencies
Installing GSelection adds 7 packages (6 with compiled code, 5.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
Maintainer since 0.1.0 (2019)
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.0Latest2019-11-04 · current release
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-04
- Total releases
- 1 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 2.5 KB / 1 file
- Download size
- 15 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GSelection")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.