drop collinear variables in pre_process_drdid.R (useful in drdid command but not other commands)
Add compatibility with R 3.5
Ensure the idname is always provided (regardless of panel data or repeated cross section data setup)
Add new flags for non-unique unit identifier
Better handle of factor variables as covariates
Allows for treating covariates as factor and alike when computing DiD
Improve error and warning handling due to collinearity and convergence issues.
First official version of package, functions for computing a variety of difference-in-differences (DiD) estimators for the ATT.
Documentation is improved compared to the devel version, including examples for every function now.
Created wrapper function
ipwdid to implement doubly-robust, outcome regression and inverse probability weighted DID estimators.
Add dataset used in the empirical application of Sant’Anna and Zhao (2020).