Package index
-
fit_observational_forest() - Fit an observational causal forest workflow
-
fit_survival_forest() - Fit a survival causal forest workflow
-
fit_instrumental_forest() - Fit an instrumental forest workflow
-
case_study_catalog() - Case-study catalog for
heteff -
available_case_studies() - List built-in case study names
-
run_case_study() - Run a built-in case study
-
export_tables() - Export output tables to CSV files
-
export_plots() - Write standard plots for a
heteff_fit
-
plot_observational_dag() - Plot the observational causal DAG
-
plot_instrumental_dag() - Plot the instrumental DAG
-
plot_treatment_outcome() - Plot the treatment-outcome relationship for an observational workflow
-
plot_first_stage() - Plot the first-stage treatment-instrument relationship
-
plot_reduced_form() - Plot the reduced-form outcome-instrument relationship
-
plot_subgroup_effects() - Plot subgroup mean effects
-
plot_effect_tree() - Plot an explanation tree with a publication-style layout
-
plot_variable_importance() - Plot ranked variable importance
-
simulate_observational_data() - Simulate data for an observational causal-forest workflow
-
simulate_survival_data() - Simulate data for a survival-forest workflow
-
simulate_instrumental_data() - Simulate data for an instrumental-forest workflow
-
prepare_case_nhefs() - Prepare the NHEFS observational case study
-
prepare_case_nsw() - Prepare the NSW observational case study
-
prepare_case_veteran() - Prepare the veteran survival case study
-
prepare_case_rotterdam() - Prepare the Rotterdam survival case study
-
prepare_case_card_data() - Prepare the Card returns-to-schooling case study
-
prepare_case_schooling_returns() - Prepare the SchoolingReturns case study
-
print(<heteff_fit>) - Print a
heteff_fitsummary -
plot(<heteff_fit>) - Plot a default subgroup-effect summary from a
heteff_fit -
plot_effect_distribution() - Plot the distribution of estimated sample-level effects
-
build_instrument_score() - Build a single instrument score from multiple columns
-
explain_effect_shap() - Compute SHAP-style explanations for fitted local IV effects
-
summarize_shap() - Summarize SHAP values into a ranked importance table
-
plot_shap_importance() - Plot ranked SHAP importance
-
fit_causal_tree_explorer() - Run a causalTree-style exploratory analysis
-
plot_causal_tree_explorer() - Plot a causalTree explorer result