gesso-package: Hierarchical GxE Interactions in a Regularized Regression...
In gesso: Hierarchical GxE Interactions in a Regularized Regression Model
Description
Author(s)
References
Description
The method focuses on a single environmental exposure and induces
a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms
in a regularized regression model. For details see Zemlianskaia et al. (2021) <arxiv:2103.13510>.
Author(s)
Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia@gmail.com>
References
"A Scalable Hierarchical Lasso for Gene-Environment Interactions",
Natalia Zemlianskaia, W.James Gauderman, Juan Pablo Lewinger
https://arxiv.org/abs/2103.13510
gesso documentation built on Nov. 30, 2021, 9:09 a.m.
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Description Author(s) References
Description
The method focuses on a single environmental exposure and induces a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms in a regularized regression model. For details see Zemlianskaia et al. (2021) <arxiv:2103.13510>.
Author(s)
Natalia Zemlianskaia
Maintainer: Natalia Zemlianskaia <natasha.zemlianskaia@gmail.com>
References
"A Scalable Hierarchical Lasso for Gene-Environment Interactions", Natalia Zemlianskaia, W.James Gauderman, Juan Pablo Lewinger https://arxiv.org/abs/2103.13510
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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