doubleml.DoubleMLLPQ
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLLPQ

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLLPQ.bootstrap

.. automethod:: DoubleMLLPQ.confint

.. automethod:: DoubleMLLPQ.draw_sample_splitting

.. automethod:: DoubleMLLPQ.evaluate_learners

.. automethod:: DoubleMLLPQ.fit

.. automethod:: DoubleMLLPQ.get_params

.. automethod:: DoubleMLLPQ.p_adjust

.. automethod:: DoubleMLLPQ.sensitivity_analysis

.. automethod:: DoubleMLLPQ.sensitivity_benchmark

.. automethod:: DoubleMLLPQ.sensitivity_plot

.. automethod:: DoubleMLLPQ.set_ml_nuisance_params

.. automethod:: DoubleMLLPQ.set_sample_splitting

.. automethod:: DoubleMLLPQ.tune