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panglm

1.1.4Package record

Generalized Linear Models for Panel Data

0packages depend
489downloads / year
91.2%test coverage
13/13flavors OK

Overview

About

Provides generalized linear models for panel data, including pooled, fixed-effects, and random-effects estimators for continuous, binary, and count outcomes. Offers a unified interface for fitting and analysing panel regression models, with efficient computation for large datasets. Estimators and tests follow standard panel-data references, including Hausman (1978) doi:10.2307/1913827, Chamberlain (1980) doi:10.2307/2297110, Allison and Waterman (2002) doi:10.1111/1467-9531.00117, and Croissant and Millo (2008) doi:10.18637/jss.v027.i02. Core numerical routines are implemented using 'Rcpp', 'RcppArmadillo', and 'RcppParallel'.

Changes in 1.1.4
  • Added \value documentation to confint.panglm(), fitted.panglm(), summary.panglm(), and vcov.panglm(), describing the structure and meaning of each return value (CRAN resubmission).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK3 OK2026-09-22
Advisories

none known

Documentation

In release 1.1.4
READMEYes · 538 wordsVignettesYes · 1 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 1.1.4Citation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
17 (1 internal)includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

489
CRAN downloads in the past year
Rank #24,478 · ~1/day · ~41/mo
Daily download trend is not available in this view yet.
46930 days
48990 days
4891 year
Compare downloads with other packages →
Also on11 r2u1 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
146Commits
1Commit identities
146 commits · Last activity 2026-10-04 · Default branch at 1.2.0, ahead of CRAN 1.1.4 (checked 2026-10-21)
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
0

Commits over time

2026-09-27 · 1412026-10-04 · 146
PracticesBeta

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

Checks run against github.com/ielbadisy/panglm on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing panglm adds 4 packages (4 with compiled code, 9.2 MB of source tarballs). Heaviest: data.table 5.7 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.6.0
Imports (4)
Rcppdata.tablegraphicsstats
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.1.4 (2026)
Releases (1)
  • 1.1.4Latest
    2026-09-22 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-22
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.6.0
Bundled data
2.3 KB / 1 file
Download size
411 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("panglm")
El Badisy, I. (2026). panglm: Generalized Linear Models for Panel Data (Version 1.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.panglm

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 panglm version 1.1.4 [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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