doubleml.DoubleMLSSM
====================

.. currentmodule:: doubleml

.. autoclass:: DoubleMLSSM

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

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




.. automethod:: DoubleMLSSM.bootstrap

.. automethod:: DoubleMLSSM.confint

.. automethod:: DoubleMLSSM.construct_framework

.. automethod:: DoubleMLSSM.draw_sample_splitting

.. automethod:: DoubleMLSSM.evaluate_learners

.. automethod:: DoubleMLSSM.fit

.. automethod:: DoubleMLSSM.get_params

.. automethod:: DoubleMLSSM.p_adjust

.. automethod:: DoubleMLSSM.sensitivity_analysis

.. automethod:: DoubleMLSSM.sensitivity_benchmark

.. automethod:: DoubleMLSSM.sensitivity_plot

.. automethod:: DoubleMLSSM.set_ml_nuisance_params

.. automethod:: DoubleMLSSM.set_sample_splitting

.. automethod:: DoubleMLSSM.tune