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CodataGS: Genomic Prediction Using SNP Codata

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>.

Version: 1.43
Depends: Matrix
Published: 2019-05-17
Author: Lars Ronnegard
Maintainer: Lars Ronnegard <lrn at du.se>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: CodataGS results

Documentation:

Reference manual: CodataGS.pdf

Downloads:

Package source: CodataGS_1.43.tar.gz
Windows binaries: r-devel: CodataGS_1.43.zip, r-release: CodataGS_1.43.zip, r-oldrel: CodataGS_1.43.zip
macOS binaries: r-release (arm64): CodataGS_1.43.tgz, r-oldrel (arm64): CodataGS_1.43.tgz, r-release (x86_64): CodataGS_1.43.tgz, r-oldrel (x86_64): CodataGS_1.43.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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