doubleml.DoubleMLPQ
===================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLPQ

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLPQ.bootstrap

.. automethod:: DoubleMLPQ.confint

.. automethod:: DoubleMLPQ.draw_sample_splitting

.. automethod:: DoubleMLPQ.evaluate_learners

.. automethod:: DoubleMLPQ.fit

.. automethod:: DoubleMLPQ.get_params

.. automethod:: DoubleMLPQ.p_adjust

.. automethod:: DoubleMLPQ.sensitivity_analysis

.. automethod:: DoubleMLPQ.sensitivity_benchmark

.. automethod:: DoubleMLPQ.sensitivity_plot

.. automethod:: DoubleMLPQ.set_ml_nuisance_params

.. automethod:: DoubleMLPQ.set_sample_splitting

.. automethod:: DoubleMLPQ.tune