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gesso  

Hierarchical GxE Interactions in a Regularized Regression Model
View on CRAN: Click here


Download and install gesso package within the R console
Install from CRAN:
install.packages("gesso")

Install from Github:
library("remotes")
install_github("cran/gesso")

Install by package version:
library("remotes")
install_version("gesso", "1.0.2")



Attach the package and use:
library("gesso")
Maintained by
Natalia Zemlianskaia
[Scholar Profile | Author Map]
First Published: 2021-06-07
Latest Update: 2021-11-30
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) .
How to cite:
Natalia Zemlianskaia (2021). gesso: Hierarchical GxE Interactions in a Regularized Regression Model. R package version 1.0.2, https://cran.r-project.org/web/packages/gesso. Accessed 10 May. 2025.
Previous versions and publish date:
1.0.0 (2021-06-07 09:30), 1.0.1 (2021-06-16 11:00)
Other packages that cited gesso R package
View gesso citation profile
Other R packages that gesso depends, imports, suggests or enhances
Complete documentation for gesso
Functions, R codes and Examples using the gesso R package
Some associated functions: data.gen . gesso-package . gesso.coef . gesso.coefnum . gesso.cv . gesso.fit . gesso.predict . selection.metrics . 
Some associated R codes: RcppExports.R . data.gen.R . gesso.R . selection.metrics.R .  Full gesso package functions and examples
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