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panglm: Generalized Linear Models for Panel Data

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'.

Version: 1.1.4
Depends: R (≥ 3.6.0)
Imports: Rcpp, data.table, graphics, stats
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (≥ 3.0.0), plm, pglm, fixest, sandwich, survival, MASS, AER, glmmTMB, lme4, pscl, generics, broom, knitr, rmarkdown
Published: 2026-09-22
DOI: 10.32614/CRAN.package.panglm
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad at gmail.com>
BugReports: https://github.com/ielbadisy/panglm/issues
License: MIT + file LICENSE
URL: https://CRAN.R-project.org/package=panglm, https://github.com/ielbadisy/panglm
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README, NEWS
CRAN checks: panglm results

Documentation:

Reference manual: panglm.html , panglm.pdf
Vignettes: Panel generalized linear models with panglm (source, R code)

Downloads:

Package source: panglm_1.1.4.tar.gz
Windows binaries: r-devel: panglm_1.1.4.zip, r-release: not available, r-oldrel: panglm_1.1.4.zip
macOS binaries: r-release (arm64): panglm_1.1.4.tgz, r-oldrel (arm64): panglm_1.1.4.tgz, r-release (x86_64): panglm_1.1.4.tgz, r-oldrel (x86_64): panglm_1.1.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=panglm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.