doubleml.DoubleMLPLR
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLPLR

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLPLR.bootstrap

.. automethod:: DoubleMLPLR.cate

.. automethod:: DoubleMLPLR.confint

.. automethod:: DoubleMLPLR.draw_sample_splitting

.. automethod:: DoubleMLPLR.evaluate_learners

.. automethod:: DoubleMLPLR.fit

.. automethod:: DoubleMLPLR.gate

.. automethod:: DoubleMLPLR.get_params

.. automethod:: DoubleMLPLR.p_adjust

.. automethod:: DoubleMLPLR.sensitivity_analysis

.. automethod:: DoubleMLPLR.sensitivity_benchmark

.. automethod:: DoubleMLPLR.sensitivity_plot

.. automethod:: DoubleMLPLR.set_ml_nuisance_params

.. automethod:: DoubleMLPLR.set_sample_splitting

.. automethod:: DoubleMLPLR.tune