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higlasso
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]
[Scholar Profile | Author Map]
All associated links for this package
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 21 Nov. 2024.
Previous versions and publish date:
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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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