The package MGPMSimulations contains all scripts and simulated data that have been created or generated for the simulation-based study in the research article (Mitov, Bartoszek, and Stadler 2019) (see References).

Installation

The easiest way to install this package is to use the function install_github() from the R-package devtools. The following command will install the most up-to-date version of the master branch from the github repository of the package.

devtools::install_github("venelin/MGPMSimulations")

License

The package MGPMSimulations is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0) license.

Citing MGPMSimulations

Please, read the following:

print(citation("MGPMSimulations"), bibtex = TRUE)
#> 
#> If you use code or data from MGPMSimulations in a publication,
#> please cite the article:
#> 
#>   Mitov, V., Bartoszek, K., & Stadler, T. (2019). Automatic
#>   generation of evolutionary hypotheses using mixed Gaussian
#>   phylogenetic models. Proceedings of the National Academy of
#>   Sciences of the United States of America,
#>   http://doi.org/10.1073/pnas.1813823116
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Article{,
#>     title = {Automatic generation of evolutionary hypotheses using mixed Gaussian phylogenetic models},
#>     author = {Venelin Mitov and Krzysztof Bartoszek and Tanja Stadler},
#>     journal = {Proceedings of the National Academy of Sciences of the United States of America},
#>     year = {2019},
#>     url = {https://www.pnas.org/lookup/doi/10.1073/pnas.1813823116},
#>   }

Further information

For additional information about the data objects and scripts in the package, read SI Appendix, Sections I,J,L.2 and L.3 from (Mitov, Bartoszek, and Stadler 2019).

References

Mitov, Venelin, Krzysztof Bartoszek, and Tanja Stadler. 2019. “Automatic Generation of Evolutionary Hypotheses Using Mixed Gaussian Phylogenetic Models.” Proceedings of the National Academy of Sciences of the United States of America. https://www.pnas.org/lookup/doi/10.1073/pnas.1813823116.