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  • Installing
  • Getting started
  • User Guide
  • Examples
  • API Reference
  • About statsmodels
  • Developer Page
  • Release Notes
  • GitHub
  • PyPI
  • DOI

Section Navigation

  • endog, exog, what’s that?
  • Import Paths and Structure
  • Fitting models using R-style formulas
  • Pitfalls
  • Linear Regression
  • Generalized Linear Models
  • Generalized Estimating Equations
  • Generalized Additive Models (GAM)
  • Robust Linear Models
  • Linear Mixed Effects Models
  • Regression with Discrete Dependent Variable
  • Generalized Linear Mixed Effects Models
  • ANOVA
  • Other Models othermod
  • Time Series analysis tsa
  • Time Series Analysis by State Space Methods statespace
  • Vector Autoregressions tsa.vector_ar
  • Methods for Survival and Duration Analysis
  • Nonparametric Methods nonparametric
  • Generalized Method of Moments gmm
    • statsmodels.sandbox.regression.gmm.GMM
    • statsmodels.sandbox.regression.gmm.GMMResults
    • statsmodels.sandbox.regression.gmm.IV2SLS
    • statsmodels.sandbox.regression.gmm.IVGMM
    • statsmodels.sandbox.regression.gmm.IVGMMResults
    • statsmodels.sandbox.regression.gmm.IVRegressionResults
    • statsmodels.sandbox.regression.gmm.LinearIVGMM
    • statsmodels.sandbox.regression.gmm.NonlinearIVGMM
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.calc_weightmatrix
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fit
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm_cu
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fititer
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitstart
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.from_formula
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.get_error
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective_cu
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gradient_momcond
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_error
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_func
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond_mean
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.predict
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score_cu
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.set_param_names
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.start_weights
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.endog_names
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.exog_names
      • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.results_class
  • Other Models miscmodels
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  • Input-Output iolib
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  • Working with Large Data Sets
  • Optimization
  • The Datasets Package
  • Sandbox
  • User Guide
  • Generalized Method of Moments gmm
  • statsmodels.sandbox.regression.gmm.NonlinearIVGMM
  • statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score

statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score#

NonlinearIVGMM.score(params, weights, **kwds)[source]#

Score

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