synbreed: Framework for the Analysis of Genomic Prediction Data using R

A collection of functions required for genomic prediction which were developed within the Synbreed project for synergistic plant and animal breeding (<>). This covers data processing, data visualization, and analysis. All functions are embedded within the framework of a single, unified data object. The implementation is flexible with respect to a wide range of data formats in plant and animal breeding. This research was funded by the German Federal Ministry of Education and Research (BMBF) within the AgroClustEr Synbreed - Synergistic plant and animal breeding (FKZ 0315528A).

Version: 0.12-6
Depends: R (≥ 2.14)
Imports: abind, BGLR, doBy, doParallel, foreach, grid, igraph, lattice, LDheatmap, MASS, methods, parallel, qtl, regress (≥ 1.3-8)
Suggests: synbreedData (≥ 1.5)
Published: 2017-04-21
Author: Hans-Juergen Auinger, Valentin Wimmer, Theresa Albrecht, Chris-Carolin Schoen with contributions by Larry Schaeffer, Malena Erbe, Ulrike Ober, Christian Reimer, Yvonne Badke and Peter VandeHaar
Maintainer: Hans-Juergen Auinger <auinger at>
License: GPL-3
NeedsCompilation: no
Citation: synbreed citation info
Materials: NEWS
CRAN checks: synbreed results


Reference manual: synbreed.pdf
Vignettes: Introduction to the synbreed package
Package source: synbreed_0.12-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: synbreed_0.12-6.tgz
Old sources: synbreed archive

Reverse dependencies:

Reverse suggests: heritability


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