Notice: This R-package is not being actively maintained any more. If you want to take over the maintenance or the development, I'm ready to help. But I cannot afford continuing the support and maintenance. Thanks for your understanding.
This R package provides frequentist and Bayesian statistical tools to build predictive models useful for the breeders, quantitative genetists and forest genetic resources analysts communities. It aims to assess the genetic value of individuals under a number of situations, including spatial autocorrelation, genetic/environment interaction and competition. It is under active development as part of the Trees4Future and ProCoGen projects, particularly developed having forest genetic trials in mind. But can be used for animals or other situations as well.
If you have questions, please join our discussion group
This site is concerned with the development and testing of breedR. If you want to use the most stable version of breedR, please check the dissemination site.
This will install the latest development version of breedR. Note that updating
requires explicitly repeating this operation. For regular use and management of
the package, follow the installation instructions at the dissemination
site.
# pak::pak('famuvie/breedR')
install.packages("breedR", repos = c('https://famuvie.r-universe.dev', 'https://cloud.r-project.org'))
Check the breedR-wiki
library(breedR) # Load the package
browseVignettes(package = 'breedR') # Read tutorials
news(package = 'breedR') # Check the changelog
example('breedR') # Check-out the basic example
demo(package='breedR') # Available demos on features
demo('Metagene-spatial') # Execute some demos
demo('globulus')
Check the automated tests
library('testthat')
test_package('breedR')
Try it with your own data or with provided datasets
Report issues
citation('breedR')