CodataGS-package {CodataGS}

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) <doi:10.1101/636746>.

Details

The DESCRIPTION file:

Package:	CodataGS
Type:	Package
Title:	Genomic Prediction Using SNP Codata
Version:	1.43
Date:	2019-05-17
Author:	Lars Ronnegard
Maintainer:	Lars Ronnegard <[e-mail]>
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) <doi:10.1101/636746>.
License:	GPL
Depends:	Matrix
NeedsCompilation:	no

Index of help topics:

CodataGS-package        Genomic Prediction Using SNP Codata
MME                     Mixed model equations
Transform               Transforms hat values
compute_GL              Computes genomic relationship matrix
compute_phitau          Computes models for the variance components
genomicEBV.w.codata     Performs genomic prediction based on SNP
                        codata.
hat.transf              Transforms hat values
scaleZ                  Scales the genotype matrix.
summary.CodataGS        Summary method for CodataGS objects

This package performs genomic prediction based on SNP codata. The main function is genomicEBV.w.codata.

Author(s)

Lars Ronnegard

Maintainer: Lars Ronnegard <[e-mail]>