CodataGS-package {CodataGS} | R Documentation |
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 <lrn@du.se> |
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 <lrn@du.se>
[Package CodataGS version 1.43 Index]