Package: GEmetrics 1.0.0

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.

Authors:Simon Rio [aut, cre], Humberto Fanelli Carvalho [aut], Julio Isidro y Sanchez [aut]

GEmetrics_1.0.0.tar.gz
GEmetrics_1.0.0.zip(r-4.7-any)GEmetrics_1.0.0.zip(r-4.6-any)GEmetrics_1.0.0.zip(r-4.5-any)
GEmetrics_1.0.0.tgz(r-4.6-any)GEmetrics_1.0.0.tgz(r-4.5-any)
GEmetrics_1.0.0.tar.gz(r-4.7-any)GEmetrics_1.0.0.tar.gz(r-4.6-any)
GEmetrics_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GEmetrics/json (API)

# Install 'GEmetrics' in R:
install.packages('GEmetrics', repos = c('https://simonrio.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 244 downloads 4 exports 3 dependencies

Last updated from:b81256013d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK94
source / vignettesOK145
linux-releaseOK85
macos-releaseOK104
macos-oldrelOK103
windows-develOK76
windows-releaseOK80
windows-oldrelOK55
wasm-releaseOK72

Exports:BGLR_formatEnvBV_blupGEmetrics_blupSimulate_MET_data

Dependencies:BGLRMASStruncnorm