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 DOI: 10.32614/CRAN.package.fect Author: Licheng Liu [aut], Ziyi Liu [aut, cre], Ye Wang [aut], Yiqing Xu [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fect to link to this page.
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