Estimating Fixed Effects Individual Slope Models
Overview
Provides the function feis() to estimate fixed effects individual slope (FEIS) models. The FEIS model constitutes a more general version of the often-used fixed effects (FE) panel model, as implemented in the package 'plm' by Croissant and Millo (2008) doi:10.18637/jss.v027.i02. In FEIS models, data are not only person demeaned like in conventional FE models, but detrended by the predicted individual slope of each person or group. Estimation is performed by applying least squares lm() to the transformed data. For more details on FEIS models see Bruederl and Ludwig (2015, ISBN:1446252442); Frees (2001) doi:10.2307/3316008; Polachek and Kim (1994) doi:10.1016/0304-4076(94)90075-2; Ruettenauer and Ludwig (2020) doi:10.1177/0049124120926211; Wooldridge (2010, ISBN:0262294354). To test consistency of conventional FE and random effects estimators against heterogeneous slopes, the package also provides the functions feistest() for an artificial regression test and bsfeistest() for a bootstrapped version of the Hausman test.
Minor Changes
- Remove
dimbefore callingbind_rows()to account for changes in vctrs (thanks to Davis Vaughan)
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 13includes a package overview page
- Examples that run
- 100%11 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 46% with a bibliography file
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 114
- Median days to close, 50 most recently updated closed PRs
- 4
Stars over time
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6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/ruettenauer/feisr on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing feisr adds 28 packages (16 with compiled code, 15 MB of source tarballs). Heaviest: Rcpp 1.8 MB, collapse 1.4 MB, sandwich 1.4 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.3.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.3.02022-04-01 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.2.02021-02-25 · diff ↗
- 1.1.42021-01-15 · diff ↗
- 1.1.32021-01-11 · diff ↗
- 1.1.2
- 1.1.12020-06-17 · diff ↗
- 1.1.02020-06-10 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
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- 1.0.12019-03-01
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-01
- Total releases
- 9 / 7 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.4.0
- Bundled data
- 48 KB / 1 file
- Download size
- 223 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("feisr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1177/0049124120926211.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.