Package: RGE 1.0

RGE: Response from Genotype to Environment

Compute yield-stability index based on Bayesian methodology, which is useful for analyze multi-environment trials in plant breeding programs. References: Cotes Torres JM, Gonzalez Jaimes EP, and Cotes Torres A (2016) <https://revistas.unimilitar.edu.co/index.php/rfcb/article/view/2037> Seleccion de Genotipos con Alta Respuesta y Estabilidad Fenotipica en Pruebas Regionales: Recuperando el Concepto Biologico.

Authors:Jose Miguel Cotes Torres. Universidad Nacional de Colombia - Sede Medellin

RGE_1.0.tar.gz
RGE_1.0.zip(r-4.7-any)RGE_1.0.zip(r-4.6-any)RGE_1.0.zip(r-4.5-any)
RGE_1.0.tgz(r-4.6-any)RGE_1.0.tgz(r-4.5-any)
RGE_1.0.tar.gz(r-4.7-any)RGE_1.0.tar.gz(r-4.6-any)
RGE_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RGE/json (API)

# Install 'RGE' in R:
install.packages('RGE', repos = c('https://jmcotest.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • datos - Potato regional trial in Colombia
  • m1 - Samples of the posterior distribution by GIBBS sampler

On CRAN:

Conda:

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

1.30 score 6 scripts 292 downloads 2 mentions 2 exports 4 dependencies

Last updated from:ae41607a80. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK109
source / vignettesOK303
linux-releaseOK214
macos-releaseOK129
macos-oldrelOK172
windows-develOK80
windows-releaseOK284
windows-oldrelOK84
wasm-releaseOK233

Exports:bayes.posteriorRGEgibbs

Dependencies:codalatticeMatrixMatrixModels