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penppml

0.2.4Package record

Penalized Poisson Pseudo Maximum Likelihood Regression

0packages depend
4.6Kdownloads / year
15.6%test coverage
11/13flavors OK

Overview

About

A set of tools that enables efficient estimation of penalized Poisson Pseudo Maximum Likelihood regressions, using lasso or ridge penalties, for models that feature one or more sets of high-dimensional fixed effects. The methodology is based on Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021) http://hdl.handle.net/10986/35451 and takes advantage of the method of alternating projections of Gaure (2013) doi:10.1016/j.csda.2013.03.024 for dealing with HDFE, as well as the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010) doi:10.18637/jss.v033.i01 for fitting lasso regressions. The package is also able to carry out cross-validation and to implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016) doi:10.1080/07350015.2015.1102733.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘fixest’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE10 OK, 4 NOTE2026-04-22
  • ERROR9 OK, 4 NOTE, 1 ERROR2026-04-18
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.4
READMEYes · 327 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 0.2.4Citation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
32 (2 internal)includes a package overview page
Examples that run
9%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 9 never run
Exported functions with examples
92%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

4.6K
CRAN downloads in the past year
Rank #5,773 · ~13/day · ~383/mo
Daily download trend is not available in this view yet.
49630 days
1.4K90 days
4.6K1 year
Compare downloads with other packages →
Also on366 r2u3 autocran63 c2d4u

Repository

14Stars
6Forks
2Open issues
0Open PRs
1Releases
144Commits
4Commit identities
144 commits · Last activity 2025-02-10
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/tomzylkin/penppml on 2026-10-21.

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing penppml adds 112 packages (55 with compiled code, 76 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, fixest 4.8 MB.

Depends (1)
R >= 2.10
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Maintainer since 0.2.1 (2022), Contributor · added in 0.2.1
Contributor

Previously maintained by Nicolas Apfel (0.1.0 to 0.2.0).

Releases (7)

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
  • 0.2.4Latest
    record
    2025-02-08 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.3
    record
    2023-09-08 · diff ↗
  • 0.2.2
    record
    2023-04-22 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.2.1
    record
    2022-12-16 · diff ↗
  • 0.2.0
    record
    2022-10-24 · diff ↗ ·
    added 1 export
    bootstrap
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    record
    2022-01-03 · diff ↗
  • 0.1.0
    record
    2021-09-09
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-09
Total releases
7 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Bundled data
969 KB / 2 files
Download size
1.1 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("penppml")
Cruz, J., Apfel, N., Ferreras Garrucho, D., & Zylkin, T. (2025). penppml: Penalized Poisson Pseudo Maximum Likelihood Regression (Version 0.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.penppml

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 penppml version 0.2.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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