Skip to content

HDMAADMM

0.0.1

ADMM for High-Dimensional Mediation Models

0packages depend
2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Pei-Shan YenFirst published 2023-11-291 releasesCRAN page ↗GitHub ↗

We use the Alternating Direction Method of Multipliers (ADMM) for parameter estimation in high-dimensional, single-modality mediation models. To improve the sensitivity and specificity of estimated mediation effects, we offer the sure independence screening (SIS) function for dimension reduction. The available penalty options include Lasso, Elastic Net, Pathway Lasso, and Network-constrained Penalty. The methods employed in the package are based on Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011). doi:10.1561/2200000016, Fan, J., & Lv, J. (2008) doi:10.1111/j.1467-9868.2008.00674.x, Li, C., & Li, H. (2008) doi:10.1093/bioinformatics/btn081, Tibshirani, R. (1996) doi:10.1111/j.2517-6161.1996.tb02080.x, Zhao, Y., & Luo, X. (2022) doi:10.4310/21-sii673, and Zou, H., & Hastie, T. (2005) doi:10.1111/j.1467-9868.2005.00503.x.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 58 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
68%
Return-value docs
100%
References docs
14%

Downloads

2K
CRAN downloads in the past year
Rank #17,314 · ~6/day · ~168/mo
Daily download trend is not available in this view yet.
19230 days
62390 days
2K1 year
Compare downloads with other packages →
Also on385 r2u12 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2024-09-02

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/psyen0824/hdmaadmm on 2026-08-09.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-11-29
Total releases
1 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
17 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HDMAADMM")
Yen, P., & Chen, C. (2023). HDMAADMM: ADMM for High-Dimensional Mediation Models (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.HDMAADMM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 HDMAADMM version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy