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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:b81256013d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | OK | Nov 02 2024 |
R-4.5-linux | OK | Nov 02 2024 |
R-4.4-win | OK | Nov 02 2024 |
R-4.4-mac | OK | Nov 02 2024 |
R-4.3-win | OK | Nov 02 2024 |
R-4.3-mac | OK | Nov 02 2024 |
Exports:BGLR_formatEnvBV_blupGEmetrics_blupSimulate_MET_data