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