statsmodels.sandbox.regression.gmm.NonlinearIVGMM
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.. currentmodule:: statsmodels.sandbox.regression.gmm

.. autoclass:: NonlinearIVGMM
   :exclude-members: calc_weightmatrix,fit,fitgmm,fitgmm_cu,fititer,fitstart,from_formula,get_error,gmmobjective,gmmobjective_cu,gradient_momcond,jac_error,jac_func,momcond,momcond_mean,predict,score,score_cu,set_param_names,start_weights,

   
   
   .. rubric:: Methods

   .. autosummary::
      :toctree:

      ~NonlinearIVGMM.calc_weightmatrix
      ~NonlinearIVGMM.fit
      ~NonlinearIVGMM.fitgmm
      ~NonlinearIVGMM.fitgmm_cu
      ~NonlinearIVGMM.fititer
      ~NonlinearIVGMM.fitstart
      ~NonlinearIVGMM.from_formula
      ~NonlinearIVGMM.get_error
      ~NonlinearIVGMM.gmmobjective
      ~NonlinearIVGMM.gmmobjective_cu
      ~NonlinearIVGMM.gradient_momcond
      ~NonlinearIVGMM.jac_error
      ~NonlinearIVGMM.jac_func
      ~NonlinearIVGMM.momcond
      ~NonlinearIVGMM.momcond_mean
      ~NonlinearIVGMM.predict
      ~NonlinearIVGMM.score
      ~NonlinearIVGMM.score_cu
      ~NonlinearIVGMM.set_param_names
      ~NonlinearIVGMM.start_weights
   
   
   

   
   
   .. rubric:: Properties

   .. autosummary::
      :toctree:

      ~NonlinearIVGMM.endog_names
      ~NonlinearIVGMM.exog_names
      ~NonlinearIVGMM.results_class
   
   
   