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hierNest

1.0.2Package record

Penalized Regression with Hierarchical Nested Parameterization Structure

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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 algorithm for overlapping group penalties.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK6 OK2026-04-19
Show 1 earlier changeHide 1 earlier change
  • ERROR6 OK, 1 ERROR2026-03-25
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 211 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNo
Help pages
17 (2 internal)includes a package overview page
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
18%

Downloads

2.6K
CRAN downloads in the past year
Rank #12,536 · ~7/day · ~213/mo
Daily download trend is not available in this view yet.
33230 days
89890 days
2.6K1 year
Compare downloads with other packages →
Also on187 r2u3 autocran

Repository

0Stars
1Forks
0Open issues
0Open PRs
0Releases
51Commits
3Commit identities
51 commits · Last activity 2026-04-11
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
3

Forks over time

2026-02-14 · 12026-07-07 · 1
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/zirenjiang/hiernest on 2026-10-22.

Continuous integration (1)
GitHub Actions
Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-04-11

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing hierNest adds 69 packages (39 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (18)
Author, Maintainer since 1.0.0 (2026)
Author
Contributor
Contributor
Contributor
Contributor
Contributor
Contributor
Show 6 more contributorsHide 6 contributors
Contributor · added in 1.0.2
Contributor
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Contributor
Listed in earlier versions (1)
no longer listed · 1.0.0
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-04-18
  • 1.0.2Latest
    record
    2026-04-18 · current release · diff ↗ ·
    added 1 export
    plot_contribution
  • archivedRemoved from CRAN
    2026-04-07
    issues were not corrected in time
  • 1.0.0
    record
    2026-03-24
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-24
Total releases
2 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5
Bundled data
17 KB / 1 file
Download size
217 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hierNest")
Jiang, Z., Cohen, A., Friedman, J., Hastie, T., Hou, J., Huling, J., Huo, L., Liang, X., McDonald, D. J., Narasimhan, B., Qian, J., Simon, N., Solon Heinsfeld, A., Tay, K., Tibshirani, R., Yang, J., Yang, Y., & Zou, H. (2026). hierNest: Penalized Regression with Hierarchical Nested Parameterization Structure (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.hierNest

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hierNest version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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