doubleml.DoubleMLDIDCS
======================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLDIDCS

   
   
   .. rubric:: Methods

   .. autosummary::
    ~DoubleMLDIDCS.bootstrap
    ~DoubleMLDIDCS.confint
    ~DoubleMLDIDCS.draw_sample_splitting
    ~DoubleMLDIDCS.evaluate_learners
    ~DoubleMLDIDCS.fit
    ~DoubleMLDIDCS.get_params
    ~DoubleMLDIDCS.p_adjust
    ~DoubleMLDIDCS.sensitivity_analysis
    ~DoubleMLDIDCS.sensitivity_benchmark
    ~DoubleMLDIDCS.sensitivity_plot
    ~DoubleMLDIDCS.set_ml_nuisance_params
    ~DoubleMLDIDCS.set_sample_splitting
    ~DoubleMLDIDCS.tune
   
   
   

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLDIDCS.bootstrap

.. automethod:: DoubleMLDIDCS.confint

.. automethod:: DoubleMLDIDCS.draw_sample_splitting

.. automethod:: DoubleMLDIDCS.evaluate_learners

.. automethod:: DoubleMLDIDCS.fit

.. automethod:: DoubleMLDIDCS.get_params

.. automethod:: DoubleMLDIDCS.p_adjust

.. automethod:: DoubleMLDIDCS.sensitivity_analysis

.. automethod:: DoubleMLDIDCS.sensitivity_benchmark

.. automethod:: DoubleMLDIDCS.sensitivity_plot

.. automethod:: DoubleMLDIDCS.set_ml_nuisance_params

.. automethod:: DoubleMLDIDCS.set_sample_splitting

.. automethod:: DoubleMLDIDCS.tune