doubleml.did.DoubleMLDIDBinary
==============================

.. currentmodule:: doubleml.did

.. autoclass:: DoubleMLDIDBinary

   
   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~DoubleMLDIDBinary.all_coef
      ~DoubleMLDIDBinary.all_se
      ~DoubleMLDIDBinary.anticipation_periods
      ~DoubleMLDIDBinary.boot_method
      ~DoubleMLDIDBinary.boot_t_stat
      ~DoubleMLDIDBinary.coef
      ~DoubleMLDIDBinary.control_group
      ~DoubleMLDIDBinary.framework
      ~DoubleMLDIDBinary.g_value
      ~DoubleMLDIDBinary.id_positions
      ~DoubleMLDIDBinary.in_sample_normalization
      ~DoubleMLDIDBinary.learner
      ~DoubleMLDIDBinary.learner_names
      ~DoubleMLDIDBinary.models
      ~DoubleMLDIDBinary.n_folds
      ~DoubleMLDIDBinary.n_obs
      ~DoubleMLDIDBinary.n_rep
      ~DoubleMLDIDBinary.n_rep_boot
      ~DoubleMLDIDBinary.never_treated_value
      ~DoubleMLDIDBinary.nuisance_loss
      ~DoubleMLDIDBinary.nuisance_targets
      ~DoubleMLDIDBinary.panel_data_wide
      ~DoubleMLDIDBinary.params
      ~DoubleMLDIDBinary.params_names
      ~DoubleMLDIDBinary.post_treatment
      ~DoubleMLDIDBinary.predictions
      ~DoubleMLDIDBinary.psi
      ~DoubleMLDIDBinary.psi_deriv
      ~DoubleMLDIDBinary.psi_elements
      ~DoubleMLDIDBinary.pval
      ~DoubleMLDIDBinary.score
      ~DoubleMLDIDBinary.se
      ~DoubleMLDIDBinary.sensitivity_elements
      ~DoubleMLDIDBinary.sensitivity_params
      ~DoubleMLDIDBinary.sensitivity_summary
      ~DoubleMLDIDBinary.smpls
      ~DoubleMLDIDBinary.smpls_cluster
      ~DoubleMLDIDBinary.summary
      ~DoubleMLDIDBinary.t_stat
      ~DoubleMLDIDBinary.t_value_eval
      ~DoubleMLDIDBinary.t_value_pre
      ~DoubleMLDIDBinary.trimming_rule
      ~DoubleMLDIDBinary.trimming_threshold
   
   




.. automethod:: DoubleMLDIDBinary.bootstrap

.. automethod:: DoubleMLDIDBinary.confint

.. automethod:: DoubleMLDIDBinary.construct_framework

.. automethod:: DoubleMLDIDBinary.draw_sample_splitting

.. automethod:: DoubleMLDIDBinary.evaluate_learners

.. automethod:: DoubleMLDIDBinary.fit

.. automethod:: DoubleMLDIDBinary.get_params

.. automethod:: DoubleMLDIDBinary.p_adjust

.. automethod:: DoubleMLDIDBinary.sensitivity_analysis

.. automethod:: DoubleMLDIDBinary.sensitivity_benchmark

.. automethod:: DoubleMLDIDBinary.sensitivity_plot

.. automethod:: DoubleMLDIDBinary.set_ml_nuisance_params

.. automethod:: DoubleMLDIDBinary.set_sample_splitting

.. automethod:: DoubleMLDIDBinary.tune