Man pages for NonlinearDiD
Staggered Difference-in-Differences with Nonlinear Outcomes
| att_from_score_cpp | Compute ATT from DR scores |
| binary_did_dr | Doubly-Robust Binary DiD |
| binary_did_logit | Binary Outcome DiD: Logit Estimator |
| binary_did_probit | Binary Outcome DiD: Probit Estimator |
| count_did_poisson | Count Outcome DiD: Poisson Estimator |
| dot-bootstrap_inference | Inference for Nonlinear DiD |
| dr_score_logit_cpp | Logit-scale DR score computation |
| multiplier_weights_cpp | Fast multiplier bootstrap weights |
| nonlinear_aggte | Aggregate ATT(g,t) Estimates for Nonlinear DiD |
| nonlinear_attgt | Nonlinear Staggered DiD: Group-Time ATT Estimation |
| nonlinear_bounds | Nonparametric Bounds for Binary Outcomes in Staggered DiD |
| nonlineardid_methods | S3 Methods for NonlinearDiD Objects |
| NonlinearDiD-package | NonlinearDiD: Staggered DiD with Nonlinear Outcomes |
| nonlinear_pretest | Pre-Treatment Parallel Trends Test for Nonlinear DiD |
| odds_ratio_did | Odds-Ratio DiD for Binary Outcomes |
| plot.nonlinear_aggte | Plot Aggregated DiD Estimates |
| plot.nonlinear_attgt | Plot ATT(g,t) Estimates |
| sim_binary_panel | Simulate Binary Panel Data with Staggered Treatment |
| sim_count_panel | Simulate Count Panel Data with Staggered Treatment |
| weighted_mean_cpp | Weighted mean (fast) |
