doubleml.DoubleMLIIVM
=====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLIIVM

   
   
   .. rubric:: Methods

   .. autosummary::
    ~DoubleMLIIVM.bootstrap
    ~DoubleMLIIVM.confint
    ~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_dml1_coef
      ~DoubleMLIIVM.all_se
      ~DoubleMLIIVM.apply_cross_fitting
      ~DoubleMLIIVM.boot_coef
      ~DoubleMLIIVM.boot_method
      ~DoubleMLIIVM.boot_t_stat
      ~DoubleMLIIVM.coef
      ~DoubleMLIIVM.dml_procedure
      ~DoubleMLIIVM.learner
      ~DoubleMLIIVM.learner_names
      ~DoubleMLIIVM.models
      ~DoubleMLIIVM.n_folds
      ~DoubleMLIIVM.n_rep
      ~DoubleMLIIVM.n_rep_boot
      ~DoubleMLIIVM.normalize_ipw
      ~DoubleMLIIVM.nuisance_targets
      ~DoubleMLIIVM.params
      ~DoubleMLIIVM.params_names
      ~DoubleMLIIVM.predictions
      ~DoubleMLIIVM.psi
      ~DoubleMLIIVM.psi_deriv
      ~DoubleMLIIVM.psi_elements
      ~DoubleMLIIVM.pval
      ~DoubleMLIIVM.rmses
      ~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.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