Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://github.com/lrberge/fixest/blob/master/_DOCS/FENmlm_paper.pdf>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Version: | 0.12.1 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, graphics, grDevices, tools, utils, methods, numDeriv, nlme, sandwich, Rcpp (≥ 1.0.5), dreamerr (≥ 1.4.0), stringmagic (≥ 1.1.2) |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, data.table, plm, MASS, pander, ggplot2, lfe, tinytex, pdftools, emmeans, estimability, AER |
Published: | 2024-06-13 |
DOI: | 10.32614/CRAN.package.fixest |
Author: | Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb], Russell Lenth [ctb] |
Maintainer: | Laurent Berge <laurent.berge at u-bordeaux.fr> |
BugReports: | https://github.com/lrberge/fixest/issues |
License: | GPL-3 |
URL: | https://lrberge.github.io/fixest/, https://github.com/lrberge/fixest |
NeedsCompilation: | yes |
Citation: | fixest citation info |
Materials: | README NEWS |
In views: | CausalInference, Econometrics |
CRAN checks: | fixest results |
Reference manual: | fixest.pdf |
Vignettes: |
Exporting estimation tables fixest introduction Multiple estimations On standard-errors |
Package source: | fixest_0.12.1.tar.gz |
Windows binaries: | r-devel: fixest_0.12.1.zip, r-release: fixest_0.12.1.zip, r-oldrel: fixest_0.12.1.zip |
macOS binaries: | r-release (arm64): fixest_0.12.1.tgz, r-oldrel (arm64): fixest_0.12.1.tgz, r-release (x86_64): fixest_0.12.1.tgz, r-oldrel (x86_64): fixest_0.12.1.tgz |
Old sources: | fixest archive |
Reverse depends: | did2s, didimputation, ggfixest |
Reverse imports: | conleyreg, DIDmultiplegt, effClust, etwfe, fect, fwlplot, inters, ivDiag, panelsummary, penppml, speccurvieR, tradepolicy, TwoWayFEWeights |
Reverse suggests: | broom, broom.helpers, clarify, collapse, DiDforBigData, fplot, getspanel, ggeffects, insight, marginaleffects, modelsummary, multcomp, parameters, performance, plm, RoBMA, sensemakr, summclust |
Reverse enhances: | texreg |
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