as_att                  Coerce estimator output to the cfcompare ATT
                        schema
autoplot.cf_comparison
                        Forest plot of ATT estimates across methods
autoplot.cf_rmse_curve
                        Line plot of estimation RMSE versus a design
                        dimension
autoplot.cf_rmse_curves
                        Autoplot for paired RMSE curves
autoplot.cf_rmse_tbl    Bar chart of out-of-sample RMSE across methods
autoplot.cf_se_comparison
                        Plot a TROP standard-error comparison
autoplot.cf_trop_grid   Heatmap of the TROP penalty-sensitivity grid
autoplot.trop           Synthetic-control-style trajectory plot for a
                        single TROP fit
autoplot.trop_event_study
                        Event-study plot for a TROP fit
autoplot.trop_placebo_test
                        Plot a TROP placebo test
bind_att                Stack ATT results into one comparison table
compare_se_modes        Compare TROP standard-error methods on one fit
counterfactual_matrix   Estimated counterfactual (untreated potential
                        outcome) matrix
format.trop_ablation    Render a TROP ablation table as paste-ready
                        LaTeX or Markdown
panel_compare           Compare DID, SDID, MC and TROP on the same
                        panel
panel_matrices          Reshape a long panel into TROP matrices
panel_rmse              Out-of-sample RMSE across panel estimators
plot.cf_rmse_curve      Plot one or both estimation-RMSE curves
plot_counterfactual     Plot observed vs predicted counterfactual
                        trajectories
plot_trop_surfaces      Base-R surface views of a TROP
                        penalty-sensitivity grid
rmse_curve              Estimation-RMSE curve over one design dimension
rmse_curves             Estimation-RMSE curves over both design
                        dimensions
selected_lambda         CV-selected penalties from a TROP
                        penalty-sensitivity grid
sim_panel               Simulate a panel from a low-rank factor model
sim_semisynthetic       Build a semi-synthetic panel from real data
surface_matrix          Surface matrix from a TROP penalty-sensitivity
                        grid
trop                    Triply RObust Panel (TROP) estimator
trop_ablation           Penalty ablation for the TROP estimator
trop_control            Control settings for 'trop()'
trop_event_study        Per-period (event-study) effects from a TROP
                        fit
trop_matrix             TROP estimate on matrix input
trop_placebo_test       Placebo (randomisation) test for a TROP ATT
trop_sensitivity        TROP penalty-sensitivity grid (heatmap data)
true_att                True ATT of a (semi-)synthetic panel
