statsmodels.sandbox.regression.gmm.NonlinearIVGMM ================================================= .. 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