Index _ | A | E | M | O | P | R | S | T | V | W _ __version__ (mcf_main.ModifiedCausalForest attribute) (optpolicy_main.OptimalPolicy attribute) A allocate() (optpolicy_main.OptimalPolicy method) analyse() (mcf_main.ModifiedCausalForest method) E estrisk_adjust() (optpolicy_main.OptimalPolicy method) evaluate() (optpolicy_main.OptimalPolicy method) evaluate_multiple() (optpolicy_main.OptimalPolicy method) example_data() (in module example_data_functions), [1] M McfOptPolReport (class in reporting) ModifiedCausalForest (class in mcf_main) O OptimalPolicy (class in optpolicy_main) P predict() (mcf_main.ModifiedCausalForest method) predict_different_allocations() (mcf_main.ModifiedCausalForest method) predict_iv() (mcf_main.ModifiedCausalForest method) print_time_strings_all_steps() (optpolicy_main.OptimalPolicy method) R report() (reporting.McfOptPolReport method) S sensitivity() (mcf_main.ModifiedCausalForest method) solve() (optpolicy_main.OptimalPolicy method) solvefair() (optpolicy_main.OptimalPolicy method) T train() (mcf_main.ModifiedCausalForest method) train_iv() (mcf_main.ModifiedCausalForest method) V version (reporting.McfOptPolReport attribute) W winners_losers() (optpolicy_main.OptimalPolicy method)