doubleml.DoubleMLDID
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLDID

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLDID.bootstrap

.. automethod:: DoubleMLDID.confint

.. automethod:: DoubleMLDID.draw_sample_splitting

.. automethod:: DoubleMLDID.evaluate_learners

.. automethod:: DoubleMLDID.fit

.. automethod:: DoubleMLDID.get_params

.. automethod:: DoubleMLDID.p_adjust

.. automethod:: DoubleMLDID.sensitivity_analysis

.. automethod:: DoubleMLDID.sensitivity_benchmark

.. automethod:: DoubleMLDID.sensitivity_plot

.. automethod:: DoubleMLDID.set_ml_nuisance_params

.. automethod:: DoubleMLDID.set_sample_splitting

.. automethod:: DoubleMLDID.tune