doubleml.DoubleMLPLIV
=====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLPLIV

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLPLIV.bootstrap

.. automethod:: DoubleMLPLIV.confint

.. automethod:: DoubleMLPLIV.draw_sample_splitting

.. automethod:: DoubleMLPLIV.evaluate_learners

.. automethod:: DoubleMLPLIV.fit

.. automethod:: DoubleMLPLIV.get_params

.. automethod:: DoubleMLPLIV.p_adjust

.. automethod:: DoubleMLPLIV.sensitivity_analysis

.. automethod:: DoubleMLPLIV.sensitivity_benchmark

.. automethod:: DoubleMLPLIV.sensitivity_plot

.. automethod:: DoubleMLPLIV.set_ml_nuisance_params

.. automethod:: DoubleMLPLIV.set_sample_splitting

.. automethod:: DoubleMLPLIV.tune