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