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GSelection
View on CRAN: Click
here
Download and install GSelection package within the R console
Install from CRAN:
install.packages("GSelection")
Install from Github:
library("remotes")
install_github("cran/GSelection")
Install by package version:
library("remotes")
install_version("GSelection", "0.1.0")
Attach the package and use:
library("GSelection")
Maintained by
Sayanti Guha Majumdar
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GSelection . GSelection results . GSelection.pdf . GSelection_0.1.0.tar.gz . GSelection_0.1.0.zip . GSelection_0.1.0.zip . GSelection_0.1.0.zip . GSelection_0.1.0.tgz . GSelection_0.1.0.tgz . GSelection_0.1.0.tgz . GSelection_0.1.0.tgz . GSelection_0.1.0.tgz . GSelection_0.1.0.tgz . https://CRAN.R-project.org/package=GSelection .
First Published: 2019-11-04
Latest Update: 2019-11-04
Description:
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) ) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) ) and one non-additive (hsic lasso by Yamada et. al. (2014) ) model.
How to cite:
Sayanti Guha Majumdar (2019). GSelection: Genomic Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/GSelection. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that GSelection depends,
imports, suggests or enhances
Complete documentation for GSelection
Functions, R codes and Examples using
the GSelection R package
Some associated functions: GS . GSelection-package . RED . feature.selection . genomic.prediction . hsic.var.ensemble . hsic.var.rcv . spam.var.ensemble . spam.var.rcv .
Some associated R codes: RED.R . feature.selection.R . genomic.prediction.R . hsic.var.ensemble.R . hsic.var.rcv.R . spam.var.ensemble.R . spam.var.rcv.R . Full GSelection package functions and examples
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