doubleml.plm.DoubleMLLPLR
=========================

.. currentmodule:: doubleml.plm

.. autoclass:: DoubleMLLPLR

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLLPLR.bootstrap

.. automethod:: DoubleMLLPLR.confint

.. automethod:: DoubleMLLPLR.construct_framework

.. automethod:: DoubleMLLPLR.draw_sample_splitting

.. automethod:: DoubleMLLPLR.evaluate_learners

.. automethod:: DoubleMLLPLR.fit

.. automethod:: DoubleMLLPLR.get_params

.. automethod:: DoubleMLLPLR.p_adjust

.. automethod:: DoubleMLLPLR.sensitivity_analysis

.. automethod:: DoubleMLLPLR.sensitivity_benchmark

.. automethod:: DoubleMLLPLR.sensitivity_plot

.. automethod:: DoubleMLLPLR.set_ml_nuisance_params

.. automethod:: DoubleMLLPLR.set_sample_splitting

.. automethod:: DoubleMLLPLR.tune