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higlasso  

Hierarchical Integrative Group LASSO
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("higlasso", "0.9.0")



Attach the package and use:
library("higlasso")
Maintained by
Alexander Rix
[Scholar Profile | Author Map]
First Published: 2020-05-25
Latest Update: 2020-05-25
Description:
Environmental health studies are increasingly measuring multiple pollutants to characterize the joint health effects attributable to exposure mixtures. However, the underlying dose-response relationship between toxicants and health outcomes of interest may be highly nonlinear, with possible nonlinear interaction effects. Hierarchical integrative group least absolute shrinkage and selection operator (HiGLASSO), developed by Boss et al (2020) , is a general framework to identify noteworthy nonlinear main and interaction effects in the presence of group structures among a set of exposures.
How to cite:
Alexander Rix (2020). higlasso: Hierarchical Integrative Group LASSO. R package version 0.9.0, https://cran.r-project.org/web/packages/higlasso. Accessed 11 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited higlasso R package
View higlasso citation profile
Other R packages that higlasso depends, imports, suggests or enhances
Complete documentation for higlasso
Functions, R codes and Examples using the higlasso R package
Some associated functions: cv.higlasso . higlasso.df . higlasso . print.cv.higlasso . 
Some associated R codes: RcppExports.R . cv.higlasso.R . data.R . higlasso.R . util.R .  Full higlasso package functions and examples
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