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GEmetrics: Best Linear Unbiased Prediction of Genotype-by-Environment Metrics

Provides functions to calculate the best linear unbiased prediction of genotype-by-environment metrics: ecovalence, environmental variance, Finlay and Wilkinson regression and Lin and Binns superiority measure, based on a multi-environment genomic prediction model.

Version: 1.0.0
Depends: R (≥ 3.6.0)
Imports: stats, BGLR
Published: 2024-04-05
Author: Simon Rio ORCID iD [aut, cre], Humberto Fanelli Carvalho ORCID iD [aut], Julio Isidro y Sanchez ORCID iD [aut]
Maintainer: Simon Rio <simon.rio at cirad.fr>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: GEmetrics results

Documentation:

Reference manual: GEmetrics.pdf

Downloads:

Package source: GEmetrics_1.0.0.tar.gz
Windows binaries: r-devel: GEmetrics_1.0.0.zip, r-release: GEmetrics_1.0.0.zip, r-oldrel: GEmetrics_1.0.0.zip
macOS binaries: r-release (arm64): GEmetrics_1.0.0.tgz, r-oldrel (arm64): GEmetrics_1.0.0.tgz, r-release (x86_64): GEmetrics_1.0.0.tgz, r-oldrel (x86_64): GEmetrics_1.0.0.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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