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hierNest  

Penalized Regression with Hierarchical Nested Parameterization Structure
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hierNest", "1.0.2")



Attach the package and use:
library("hierNest")
Maintained by
Ziren Jiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-07
Latest Update: 2026-04-07
Description:
Efficient implementation of penalized regression with hierarchical nested parametrization for grouped data. The package provides penalized regression methods that decompose subgroup specific effects into shared global effects, Major subgroup specific effects, and Minor subgroup specific effects, enabling structured borrowing of information across related clinical subgroups. Both lasso and hierarchical overlapping group lasso penalties are supported to encourage sparsity while respecting the nested subgroup structure. Efficient computation is achieved through a modified design matrix representation and a custom majorization minimization algorithm for overlapping group penalties.
How to cite:
Ziren Jiang (2026). hierNest: Penalized Regression with Hierarchical Nested Parameterization Structure. R package version 1.0.2, https://cran.r-project.org/web/packages/hierNest. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 1.0.0 (2026-03-24 10:20)
Other packages that cited hierNest R package
View hierNest citation profile
Other R packages that hierNest depends, imports, suggests or enhances
Complete documentation for hierNest
Functions, R codes and Examples using the hierNest R package
Full hierNest package functions and examples
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