CRAN/E | gesso

gesso

Hierarchical GxE Interactions in a Regularized Regression Model

Installation

About

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) .

Key Metrics

Version 1.0.2
R ≥ 3.5
Published 2021-11-30 482 days ago
Needs compilation? yes
License MIT
License File
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Maintainer

Maintainer

Natalia Zemlianskaia

natasha.zemlianskaia@gmail.com

Authors

Natalia Zemlianskaia

Material

README
Reference manual
Package source

Vignettes

Getting started with 'gesso'

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gesso archive

Depends

dplyr
R ≥ 3.5

Imports

Rcpp ≥ 1.0.3
Matrix
bigmemory
methods

Suggests

glmnet
testthat
knitr
rmarkdown
ggplot2

LinkingTo

Rcpp
RcppEigen
RcppThread
BH
bigmemory