nutriNetwork-package: Undirected Network for nutrition multivariate data
In nutriNetwork: Structure Learning with Copula Graphical Model
nutriNetwork-package R Documentation
Undirected Network for nutrition multivariate data
Description
Statistical tool for learning the structure of direct associations among variables for
continuous data, discrete data and mixed discrete-continuous data. The package is based
on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
Author(s)
Pariya Behrouzi
Maintainers: Pariya Behrouzi pariya.behrouzi@gmail.com
References
1. Behrouzi, P., and Wit, E. C. (2019). Detecting epistatic selection with partially observed genotype data by using copula graphical models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(1), 141-160.
3. Behrouzi, P., and Wit, E. C. (2017c). netgwas: An R Package for Network-Based Genome-Wide Association Studies. arXiv preprint, arXiv:1710.01236.
nutriNetwork documentation built on July 9, 2023, 6:57 p.m.
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| nutriNetwork-package | R Documentation |
Undirected Network for nutrition multivariate data
Description
Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
Author(s)
Pariya Behrouzi
Maintainers: Pariya Behrouzi pariya.behrouzi@gmail.com
References
1. Behrouzi, P., and Wit, E. C. (2019). Detecting epistatic selection with partially observed genotype data by using copula graphical models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(1), 141-160.
3. Behrouzi, P., and Wit, E. C. (2017c). netgwas: An R Package for Network-Based Genome-Wide Association Studies. arXiv preprint, arXiv:1710.01236.
R Package Documentation
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