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fect: Fixed Effects Counterfactuals

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) <doi:10.48550/arXiv.2107.00856>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.3), ggplot2 (≥ 2.1.0), GGally (≥ 1.0.1), doParallel (≥ 1.0.10), foreach (≥ 1.4.3), abind (≥ 1.4-0), MASS, gridExtra, grid, fixest, doRNG, future, panelView, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-10-14
Author: Licheng Liu [aut], Ziyi Liu [aut, cre], Ye Wang [aut], Yiqing Xu ORCID iD [aut]
Maintainer: Ziyi Liu <zyliu2020 at uchicago.edu>
License: MIT + file LICENSE
URL: https://yiqingxu.org/packages/fect/articles/tutorial.html
NeedsCompilation: yes
SystemRequirements: A C++11 compiler.
Materials: README NEWS
CRAN checks: fect results

Documentation:

Reference manual: fect.pdf

Downloads:

Package source: fect_1.0.0.tar.gz
Windows binaries: r-devel: fect_1.0.0.zip, r-release: fect_1.0.0.zip, r-oldrel: fect_1.0.0.zip
macOS binaries: r-release (arm64): fect_1.0.0.tgz, r-oldrel (arm64): fect_1.0.0.tgz, r-release (x86_64): fect_1.0.0.tgz, r-oldrel (x86_64): fect_1.0.0.tgz

Linking:

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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.
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