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CodataGS  

Genomic Prediction Using SNP Codata
View on CRAN: Click here


Download and install CodataGS package within the R console
Install from CRAN:
install.packages("CodataGS")

Install from Github:
library("remotes")
install_github("cran/CodataGS")

Install by package version:
library("remotes")
install_version("CodataGS", "1.43")



Attach the package and use:
library("CodataGS")
Maintained by
Lars Ronnegard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-17
Latest Update: 2019-05-17
Description:
Computes genomic breeding values using external information on the markers. The package fits a linear mixed model with heteroscedastic random effects, where the random effect variance is fitted using a linear predictor and a log link. The method is described in Mouresan, Selle and Ronnegard (2019) .
How to cite:
Lars Ronnegard (2019). CodataGS: Genomic Prediction Using SNP Codata. R package version 1.43, https://cran.r-project.org/web/packages/CodataGS. Accessed 28 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited CodataGS R package
View CodataGS citation profile
Other R packages that CodataGS depends, imports, suggests or enhances
Complete documentation for CodataGS
Functions, R codes and Examples using the CodataGS R package
Some associated functions: CodataGS-package . MME . Transform . compute_GL . compute_phitau . genomicEBV.w.codata . hat.transf . scaleZ . summary.codataGS . 
Some associated R codes: MME.R . Transform.R . compute_GL.R . compute_phitau.R . genomicEBV.w.codata.R . hat.transf.R . scaleZ.R . summary.CodataGS.R .  Full CodataGS package functions and examples
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