| att.cumu | Calculate Cumulative Treatment Effects |
| did_wrapper | A Multi-Method Difference-in-Differences Estimator |
| effect | Calculate Cumulative or Sub-group Treatment Effects |
| esplot | Event Study Visualization |
| estimand | Post-hoc Estimand Dispatcher |
| fect | Fixed Effects Counterfactual Estimators |
| fect_iden | Over-identification test for causal moderation (cm) |
| fect-internal | Internal FEct Functions |
| fect_mspe | Mean Squared Prediction Error Evaluation for fect Objects |
| fect-package | Fixed Effects Counterfactual Estimators |
| fect_sens | Sensitivity Analysis for fect Objects under Relative... |
| get.cohort | Obatin the Cohort Index |
| gs2020 | Simulated Gsynth-like Panel Data (No Reversal) |
| hh2019 | Simulated Panel Data Example |
| imputed_outcomes | Imputed Potential Outcomes Accessor |
| interFE | Interactive Fixed Effects Models |
| plot.fect | Plot Method for 'fect' Objects |
| print.fect | Print Results |
| print.interFE | Print Results |
| r.cv.rolling | Rolling-window cross-validation for rank selection |
| sim_base | Simulated data (no interactive fixed effects) |
| simdata | Simulated panel data with two latent factors |
| simgsynth | Simulated data for Gsynth |
| sim_gsynth | Simulated data for Gsynth (no treatment reversal) |
| sim_linear | Simulated panel data with unit-specific linear time trends... |
| sim_region | Simulated unbalanced panel with region-specific time effects |
| sim_trend | Simulated panel data with unit-specific sinusoidal time... |
| turnout | EDR and Voter Turnout in the US |
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