doubleml.plm.DoubleMLPLPR
=========================

.. currentmodule:: doubleml.plm

.. autoclass:: DoubleMLPLPR

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~DoubleMLPLPR.all_coef
      ~DoubleMLPLPR.all_se
      ~DoubleMLPLPR.approach
      ~DoubleMLPLPR.boot_method
      ~DoubleMLPLPR.boot_t_stat
      ~DoubleMLPLPR.coef
      ~DoubleMLPLPR.d_mean
      ~DoubleMLPLPR.data_original
      ~DoubleMLPLPR.data_transform
      ~DoubleMLPLPR.framework
      ~DoubleMLPLPR.learner
      ~DoubleMLPLPR.learner_names
      ~DoubleMLPLPR.models
      ~DoubleMLPLPR.n_folds
      ~DoubleMLPLPR.n_obs
      ~DoubleMLPLPR.n_rep
      ~DoubleMLPLPR.n_rep_boot
      ~DoubleMLPLPR.nuisance_loss
      ~DoubleMLPLPR.nuisance_targets
      ~DoubleMLPLPR.params
      ~DoubleMLPLPR.params_names
      ~DoubleMLPLPR.predictions
      ~DoubleMLPLPR.psi
      ~DoubleMLPLPR.psi_deriv
      ~DoubleMLPLPR.psi_elements
      ~DoubleMLPLPR.pval
      ~DoubleMLPLPR.score
      ~DoubleMLPLPR.se
      ~DoubleMLPLPR.sensitivity_elements
      ~DoubleMLPLPR.sensitivity_params
      ~DoubleMLPLPR.sensitivity_summary
      ~DoubleMLPLPR.smpls
      ~DoubleMLPLPR.smpls_cluster
      ~DoubleMLPLPR.smpls_inner
      ~DoubleMLPLPR.summary
      ~DoubleMLPLPR.t_stat
      ~DoubleMLPLPR.transform_cols
   
   




.. automethod:: DoubleMLPLPR.bootstrap

.. automethod:: DoubleMLPLPR.confint

.. automethod:: DoubleMLPLPR.construct_framework

.. automethod:: DoubleMLPLPR.draw_sample_splitting

.. automethod:: DoubleMLPLPR.evaluate_learners

.. automethod:: DoubleMLPLPR.fit

.. automethod:: DoubleMLPLPR.get_params

.. automethod:: DoubleMLPLPR.p_adjust

.. automethod:: DoubleMLPLPR.sensitivity_analysis

.. automethod:: DoubleMLPLPR.sensitivity_benchmark

.. automethod:: DoubleMLPLPR.sensitivity_plot

.. automethod:: DoubleMLPLPR.set_ml_nuisance_params

.. automethod:: DoubleMLPLPR.set_sample_splitting

.. automethod:: DoubleMLPLPR.tune

.. automethod:: DoubleMLPLPR.tune_ml_models