doubleml.DoubleMLIRM
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLIRM

   
   
   .. rubric:: Methods

   .. autosummary::
    ~DoubleMLIRM.bootstrap
    ~DoubleMLIRM.cate
    ~DoubleMLIRM.confint
    ~DoubleMLIRM.draw_sample_splitting
    ~DoubleMLIRM.evaluate_learners
    ~DoubleMLIRM.fit
    ~DoubleMLIRM.gate
    ~DoubleMLIRM.get_params
    ~DoubleMLIRM.p_adjust
    ~DoubleMLIRM.policy_tree
    ~DoubleMLIRM.sensitivity_analysis
    ~DoubleMLIRM.sensitivity_benchmark
    ~DoubleMLIRM.sensitivity_plot
    ~DoubleMLIRM.set_ml_nuisance_params
    ~DoubleMLIRM.set_sample_splitting
    ~DoubleMLIRM.tune
   
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~DoubleMLIRM.all_coef
      ~DoubleMLIRM.all_dml1_coef
      ~DoubleMLIRM.all_se
      ~DoubleMLIRM.apply_cross_fitting
      ~DoubleMLIRM.boot_coef
      ~DoubleMLIRM.boot_method
      ~DoubleMLIRM.boot_t_stat
      ~DoubleMLIRM.coef
      ~DoubleMLIRM.dml_procedure
      ~DoubleMLIRM.learner
      ~DoubleMLIRM.learner_names
      ~DoubleMLIRM.models
      ~DoubleMLIRM.n_folds
      ~DoubleMLIRM.n_rep
      ~DoubleMLIRM.n_rep_boot
      ~DoubleMLIRM.normalize_ipw
      ~DoubleMLIRM.nuisance_targets
      ~DoubleMLIRM.params
      ~DoubleMLIRM.params_names
      ~DoubleMLIRM.predictions
      ~DoubleMLIRM.psi
      ~DoubleMLIRM.psi_deriv
      ~DoubleMLIRM.psi_elements
      ~DoubleMLIRM.pval
      ~DoubleMLIRM.rmses
      ~DoubleMLIRM.score
      ~DoubleMLIRM.se
      ~DoubleMLIRM.sensitivity_elements
      ~DoubleMLIRM.sensitivity_params
      ~DoubleMLIRM.sensitivity_summary
      ~DoubleMLIRM.smpls
      ~DoubleMLIRM.smpls_cluster
      ~DoubleMLIRM.summary
      ~DoubleMLIRM.t_stat
      ~DoubleMLIRM.trimming_rule
      ~DoubleMLIRM.trimming_threshold
      ~DoubleMLIRM.weights
   
   




.. automethod:: DoubleMLIRM.bootstrap

.. automethod:: DoubleMLIRM.cate

.. automethod:: DoubleMLIRM.confint

.. automethod:: DoubleMLIRM.draw_sample_splitting

.. automethod:: DoubleMLIRM.evaluate_learners

.. automethod:: DoubleMLIRM.fit

.. automethod:: DoubleMLIRM.gate

.. automethod:: DoubleMLIRM.get_params

.. automethod:: DoubleMLIRM.p_adjust

.. automethod:: DoubleMLIRM.policy_tree

.. automethod:: DoubleMLIRM.sensitivity_analysis

.. automethod:: DoubleMLIRM.sensitivity_benchmark

.. automethod:: DoubleMLIRM.sensitivity_plot

.. automethod:: DoubleMLIRM.set_ml_nuisance_params

.. automethod:: DoubleMLIRM.set_sample_splitting

.. automethod:: DoubleMLIRM.tune