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pemultinom

0.1.1Package record

L1-Penalized Multinomial Regression with Statistical Inference

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

Overview

About
Maintained by Ye TianCRAN page ↗

We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in "Tian, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024). L1‐Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes. Statistics in Medicine, 43(30), 5711-5747."

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #20,572 · ~7/day · ~213/mo
Daily download trend is not available in this view yet.
21130 days
65290 days
2.6K1 year
Compare downloads with other packages →
Also on342 r2u3 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing pemultinom adds 6 packages (3 with compiled code, 3.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, lpSolve 457 KB, iterators 293 KB.

Depends (1)
R >= 3.5.0
Imports (8)
LinkingTo (1)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2023)
Author
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1Latest
    record
    2025-02-28 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2023-02-16
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-02-16
Total releases
2 / 3 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pemultinom")
Tian, Y., Feng, Y., Rusinek, H., & V. Masurkar, A. (2025). pemultinom: L1-Penalized Multinomial Regression with Statistical Inference (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.pemultinom

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 pemultinom version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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