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Elja: Linear, Logistic and Generalized Linear Models Regressions for the EnvWAS/EWAS Approach

Tool for Environment-Wide Association Studies (EnvWAS / EWAS) which are repeated analysis. It includes three functions. One function for linear regression, a second for logistic regression and a last one for generalized linear models.

Version: 1.0.0
Depends: R (≥ 4.3)
Imports: stats, devtools, dplyr, ggplot2, MASS
Suggests: knitr, rmarkdown, mlbench
Published: 2023-07-03
DOI: 10.32614/CRAN.package.Elja
Author: Marwan El Homsi ORCID iD [aut, cre, cph] (Desbrest Institute of Epidemiology and Public Health, Univ Montpellier, INSERM, Montpellier, France.), Isabella Annesi-Maesano ORCID iD [ctb, ths, fnd] (Desbrest Institute of Epidemiology and Public Health, Univ Montpellier, INSERM, Montpellier, France., Department of Allergic and Respiratory Diseases, Montpellier University Hospital, Montpellier.)
Maintainer: Marwan El Homsi <marwan.el-homsi at inserm.fr>
BugReports: https://github.com/EHMarwan/Elja/issues
License: GPL (≥ 3)
URL: https://github.com/EHMarwan/Elja
NeedsCompilation: no
CRAN checks: Elja results

Documentation:

Reference manual: Elja.pdf
Vignettes: Introduction to the Elja package

Downloads:

Package source: Elja_1.0.0.tar.gz
Windows binaries: r-devel: Elja_1.0.0.zip, r-release: Elja_1.0.0.zip, r-oldrel: Elja_1.0.0.zip
macOS binaries: r-release (arm64): Elja_1.0.0.tgz, r-oldrel (arm64): Elja_1.0.0.tgz, r-release (x86_64): Elja_1.0.0.tgz, r-oldrel (x86_64): Elja_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Elja to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.