Giter VIP home page Giter VIP logo

bmtme's Introduction

BMTME Logo

Bayesian Multi-Trait Multi-Environment | Development version 1.0.12

Maturing LGPL, Version 3.0 The project has reached a stable, usable state and is being actively developed. Dowloads from the CRAN

Travis build status Appveyor build status Coverage Status CRAN CRAN

[Last README update: 2019-10-17]


Table of contents

News of this version (1.0.12)

  • [FIX] Users can overwrite the package compiler.

See the last updates in NEWS.

Instructions for proper implementation

Installation

To complete installation of dev version of BMTME from GitHub, you have to install Rtools Software and a few packages first.

install.packages('devtools')
devtools::install_github('frahik/BMTME')

Datasets

The package include 6 sample datasets

Name Lines Environment Traits Total of observations ME models MTME models
MaizeToy 30 3 3 270 * *
WheatIranian 30 2 2 120 * *
WheatJapa30 30 1 6 180 *
WheatJapa50 50 1 3 150 *
WheatMadaToy 50 1 6 300 *
WheatToy 30 3 2 180 * *

To load one dataset, use the function data(datasetName)

How to cite this package

First option, by the article paper

@article {Montesinos-L{\'o}pez1355,
    author = {Montesinos-L{\'o}pez, Osval A. and Montesinos-L{\'o}pez, Abelardo and Luna-V{\'a}zquez, Francisco Javier and Toledo, Fernando H. and P{\'e}rez-Rodr{\'\i}guez, Paulino and Lillemo, Morten and Crossa, Jos{\'e}},
    title = {An R Package for Bayesian Analysis of Multi-environment and Multi-trait Multi-environment Data for Genome-Based Prediction},
    volume = {9},
    number = {5},
    pages = {1355--1369},
    year = {2019},
    doi = {10.1534/g3.119.400126},
    publisher = {G3: Genes, Genomes, Genetics},
    URL = {https://www.g3journal.org/content/9/5/1355},
    eprint = {https://www.g3journal.org/content/9/5/1355.full.pdf},
    journal = {G3: Genes, Genomes, Genetics}
}

Second option, by the manual package

citation('BMTME')
## 
## To cite package 'BMTME' in publications use:
## 
##   Francisco Javier Luna-Vazquez, Fernando H. Toledo, Osval Antonio
##   Montesinos-Lopez, Abelardo Montesinos-Lopez and Jose Crossa
##   (2019). BMTME: Bayesian Multi-Trait Multi-Environment for
##   Genomic Selection Analysis. R package version 1.0.12.
##   https://github.com/frahik/BMTME
## 
## A BibTeX entry for LaTeX users is
## 
##   @Manual{,
##     title = {BMTME: Bayesian Multi-Trait Multi-Environment for Genomic Selection Analysis},
##     author = {Francisco Javier Luna-Vazquez and Fernando H. Toledo and Osval Antonio Montesinos-Lopez and Abelardo Montesinos-Lopez and Jose Crossa},
##     year = {2019},
##     note = {R package version 1.0.12},
##     url = {https://github.com/frahik/BMTME},
##   }

Contributions

If you have any suggestions or feedback, I would love to hear about it. Feel free to report new issues in this link, also if you want to request a feature/report a bug, or make a pull request if you can contribute.

Authors

  • Francisco Javier Luna-Vázquez (Author, Maintainer)
  • Osval Antonio Montesinos-López (Author)
  • Abelardo Montesinos-López (Author)
  • José Crossa (Author)
  • Fernando Tolero (Author)

bmtme's People

Contributors

frahik avatar frahiklv avatar j450h1 avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.