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xrnet  

Hierarchical Regularized Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("xrnet", "1.0.1")



Attach the package and use:
library("xrnet")
Maintained by
Garrett Weaver
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-28
Latest Update: 2024-07-16
Description:
Fits hierarchical regularized regression models to incorporate potentially informative external data, Weaver and Lewinger (2019) <doi:10.21105/joss.01761>. Utilizes coordinate descent to efficiently fit regularized regression models both with and without external information with the most common penalties used in practice (i.e. ridge, lasso, elastic net). Support for standard R matrices, sparse matrices and big.matrix objects.
How to cite:
Garrett Weaver (2020). xrnet: Hierarchical Regularized Regression. R package version 1.0.1, https://cran.r-project.org/web/packages/xrnet. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.6 (2020-02-28 12:20), 0.1.7 (2020-03-01 07:50), 1.0.0 (2024-07-16 02:40)
Other packages that cited xrnet R package
View xrnet citation profile
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Complete documentation for xrnet
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