doubleml.DoubleMLDID ==================== .. currentmodule:: doubleml .. autoclass:: DoubleMLDID .. rubric:: Methods .. autosummary:: ~DoubleMLDID.bootstrap ~DoubleMLDID.confint ~DoubleMLDID.construct_framework ~DoubleMLDID.draw_sample_splitting ~DoubleMLDID.evaluate_learners ~DoubleMLDID.fit ~DoubleMLDID.get_params ~DoubleMLDID.p_adjust ~DoubleMLDID.sensitivity_analysis ~DoubleMLDID.sensitivity_benchmark ~DoubleMLDID.sensitivity_plot ~DoubleMLDID.set_ml_nuisance_params ~DoubleMLDID.set_sample_splitting ~DoubleMLDID.tune .. rubric:: Attributes .. autosummary:: ~DoubleMLDID.all_coef ~DoubleMLDID.all_se ~DoubleMLDID.boot_method ~DoubleMLDID.boot_t_stat ~DoubleMLDID.coef ~DoubleMLDID.framework ~DoubleMLDID.in_sample_normalization ~DoubleMLDID.learner ~DoubleMLDID.learner_names ~DoubleMLDID.models ~DoubleMLDID.n_folds ~DoubleMLDID.n_rep ~DoubleMLDID.n_rep_boot ~DoubleMLDID.nuisance_loss ~DoubleMLDID.nuisance_targets ~DoubleMLDID.params ~DoubleMLDID.params_names ~DoubleMLDID.predictions ~DoubleMLDID.psi ~DoubleMLDID.psi_deriv ~DoubleMLDID.psi_elements ~DoubleMLDID.pval ~DoubleMLDID.score ~DoubleMLDID.se ~DoubleMLDID.sensitivity_elements ~DoubleMLDID.sensitivity_params ~DoubleMLDID.sensitivity_summary ~DoubleMLDID.smpls ~DoubleMLDID.smpls_cluster ~DoubleMLDID.summary ~DoubleMLDID.t_stat ~DoubleMLDID.trimming_rule ~DoubleMLDID.trimming_threshold .. automethod:: DoubleMLDID.bootstrap .. automethod:: DoubleMLDID.confint .. automethod:: DoubleMLDID.construct_framework .. automethod:: DoubleMLDID.draw_sample_splitting .. automethod:: DoubleMLDID.evaluate_learners .. automethod:: DoubleMLDID.fit .. automethod:: DoubleMLDID.get_params .. automethod:: DoubleMLDID.p_adjust .. automethod:: DoubleMLDID.sensitivity_analysis .. automethod:: DoubleMLDID.sensitivity_benchmark .. automethod:: DoubleMLDID.sensitivity_plot .. automethod:: DoubleMLDID.set_ml_nuisance_params .. automethod:: DoubleMLDID.set_sample_splitting .. automethod:: DoubleMLDID.tune