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APML0

0.11

Augmented and Penalized Minimization Method L0

0packages depend
927downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Xiang LiFirst published 2026-06-1910 releasesCRAN page ↗GitHub ↗

Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves the L0 penalty problem by simultaneously selecting regularization parameters and performing hard-thresholding or selecting the number of non-zeros. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization. The package uses a one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It can handle very high dimensional data and has superior selection performance.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
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
  • OK2026-06-20
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
93%
Return-value docs
100%
References docs
67%

Downloads

927
CRAN downloads in the past year
Rank #10,801 · ~3/day · ~77/mo
Daily download trend is not available in this view yet.
33730 days
91490 days
9271 year
Compare downloads with other packages →
Also on352 r2u72 autocran

Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-06-13

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/leesprite/apml0 on 2026-08-23.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
Matrix
Imports (1)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

10 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.11Latest
    2026-06-19 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-06-19
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2024-01-12
    issues were not corrected despite reminders
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.10
    2020-01-19 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.9
    2018-04-23 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.8
    2018-04-15 · diff ↗
  • 0.7
    2018-01-25 · diff ↗
Show 6 earlier events
  • 0.6
    2018-01-02 · diff ↗
  • 0.5
    2017-10-03 · diff ↗
  • 0.4
    2017-09-18 · diff ↗
  • 0.3
    2017-09-05 · diff ↗
  • 0.2
    2017-07-17
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2026-06-19
Total releases
10 / 1 yrs
License
GPL (>= 2) OSI
Download size
34 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("APML0")
Li, X., Wang, Y., Xie, S., & Zeng, D. (2026). APML0: Augmented and Penalized Minimization Method L0 (Version 0.11) [Computer software]. https://doi.org/10.32614/CRAN.package.APML0

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 APML0 version 0.11 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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