Compare DID, SDID, Matrix Completion and the Triply Robust Panel Estimator

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Documentation for package ‘cfcompare’ version 0.2.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

as_att	Coerce estimator output to the cfcompare ATT schema
autoplot.cf_att_tbl	Forest plot of ATT estimates across methods
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.cf_rmse_curves	Plot one or both estimation-RMSE curves
plot.trop_ablation	Penalty ablation for the TROP estimator
plot_counterfactual	Plot observed vs predicted counterfactual trajectories
plot_trop_surfaces	Base-R surface views of a TROP penalty-sensitivity grid
predict_counterfactual	Estimated counterfactual (untreated potential outcome) matrix
print.trop_ablation	Penalty ablation for the TROP estimator
print.trop_placebo_test	Placebo (randomisation) test for a TROP ATT
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