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CodataGS (version 1.43)

Genomic Prediction Using SNP Codata

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) .

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Version

Install

install.packages('CodataGS')

Monthly Downloads

174

Version

1.43

License

GPL

Maintainer

Lars Ronnegard

Last Published

May 17th, 2019

Functions in CodataGS (1.43)

Transform

Transforms hat values
summary.CodataGS

Summary method for CodataGS objects
hat.transf

Transforms hat values
CodataGS-package

CodataGS
scaleZ

Scales the genotype matrix.
MME

Mixed model equations
compute_phitau

Computes models for the variance components
genomicEBV.w.codata

Performs genomic prediction based on SNP codata.
compute_GL

Computes genomic relationship matrix