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-4.5)GEmetrics_1.0.0.zip(r-4.4)GEmetrics_1.0.0.zip(r-4.3)
GEmetrics_1.0.0.tgz(r-4.4-any)GEmetrics_1.0.0.tgz(r-4.3-any)
GEmetrics_1.0.0.tar.gz(r-4.5-noble)GEmetrics_1.0.0.tar.gz(r-4.4-noble)
GEmetrics_1.0.0.tgz(r-4.4-emscripten)GEmetrics_1.0.0.tgz(r-4.3-emscripten)
GEmetrics.pdf |GEmetrics.html
GEmetrics/json (API)

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

Peer review:

On CRAN:

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

4 exports 0.09 score 3 dependencies 154 downloads

Last updated 6 months agofrom:b81256013d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-winOKSep 03 2024
R-4.5-linuxOKSep 03 2024
R-4.4-winOKSep 03 2024
R-4.4-macOKSep 03 2024
R-4.3-winOKSep 03 2024
R-4.3-macOKSep 03 2024

Exports:BGLR_formatEnvBV_blupGEmetrics_blupSimulate_MET_data

Dependencies:BGLRMASStruncnorm