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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')
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)
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')
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.
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