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fect  

Fixed Effects Counterfactual Estimators
View on CRAN: Click here


Download and install fect package within the R console
Install from CRAN:
install.packages("fect")

Install from Github:
library("remotes")
install_github("cran/fect")

Install by package version:
library("remotes")
install_version("fect", "2.1.0")



Attach the package and use:
library("fect")
Maintained by
Ziyi Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-14
Latest Update: 2022-10-14
Description:
Estimates causal effects with panel data using the counterfactual methods. It is suitable for panel or time-series cross-sectional analysis with binary treatments under (hypothetically) baseline randomization.It allows a treatment to switch on and off and limited carryover effects. It supports linear factor models, a generalization of gsynth and the matrix completion method. Implementation details can be found in Liu, Wang and Xu (2022) .
How to cite:
Ziyi Liu (2022). fect: Fixed Effects Counterfactual Estimators. R package version 2.1.0, https://cran.r-project.org/web/packages/fect. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 1.0.0 (2022-10-14 11:52), 2.0.5 (2025-08-25 14:20), 2.1.0 (2026-01-17 10:20), 2.2.0 (2026-03-27 18:40), 2.4.1 (2026-04-30 10:50)
Other packages that cited fect R package
View fect citation profile
Other R packages that fect depends, imports, suggests or enhances
Complete documentation for fect
Functions, R codes and Examples using the fect R package
Some associated functions: att.cumu . fect-internal . fect-package . fect . get.cohort . interFE . plot.fect . print.fect . print.interFE . simdata . simdata1 . turnout . 
Some associated R codes: RcppExports.R . boot.R . cumu.R . cv.R . cv_binary.R . default.R . diagtest.R . fe.R . fect_gsynth.R . fittest.R . interFE.R . mc.R . permutation.R . plot.R . polynomial.R . print.R . support.R .  Full fect package functions and examples
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