knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
R package for implementing counterfactual estimators in panel fixed-effect settings. It is suitable for panel/TSCS 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---hence, a generalization of gsynth---and the matrix completion method.
Repo: GitHub (1.0.0)
Examples: R code used in the tutorial can be downloaded from here.
Reference: Licheng Liu, Ye Wang, Yiqing Xu (2021). A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data. American Journal of Political Science, conditionally accepted.
You can install fect directly from CRAN by typing the following command in the R console:
install.packages('fect')
You can install the development version of fect from GitHub by typing the following commands:
devtools::install_github('xuyiqing/fect')
panelview for panel data visualization is also highly recommended:
devtools::install_github('xuyiqing/panelView')
fect depends on the following packages, which will be installed automatically when fect is being installed. You can also install them manually.
## for processing C++ code require(Rcpp) ## for plotting require(ggplot2) require(GGally) require(grid) require(gridExtra) ## for parallel computing require(foreach) require(future) require(doParallel) require(abind)
Please report bugs to yiqingxu [at] stanford.edu with your sample code and data file. Much appreciated!
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