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breedR

Statistical methods for forest genetic resources analysts

This 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 project, 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

Installation

Requirements
  • Install R from CRAN
  • If you work under MS Windows platform
  • Install the devtools R-package
    • install.packages('devtools')
  • For beta-testers;
    • Create a GitHub account
    • Install the testthat R-package
      • install.pacakges('testthat')
Installation of breedR (latest dev. version)
  • devtools::install_github('famuvie/breedR')

Getting started

Check the breedR-wiki

library(breedR)             # Load the package
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')

Test cycle

breedR is in beta stage. Collaboration is welcome!

  • Check the automated tests

    library('testthat')
test_package('breedR')

  • Try it with your own data or with provided datasets

  • Report issues

Citing

  • If you use this package please cite it
  • citation('breedR')