InverseGaussian.fitted()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.family.InverseGaussian.fitted

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CDFLink.deriv()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.links.CDFLink.deriv CDFLink

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static DiscreteResults.pvalues()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.DiscreteResults.pvalues

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genmod.cov_struct.GlobalOddsRatio()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.cov_struct.GlobalOddsRatio class statsmodels

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RLMResults.summary2()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLMResults.summary2

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Distributions
  • References/Python/Statsmodels/Manual

Distributions This section collects various additional functions and methods for statistical distributions. Empirical

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NegativeBinomial.cov_params_func_l1()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomial.cov_params_func_l1

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Independence.initialize()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.cov_struct.Independence.initialize

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VAR.hessian()
  • References/Python/Statsmodels/Time Series analysis

statsmodels.tsa.vector_ar.var_model.VAR.hessian VAR

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sandbox.distributions.extras.mvnormcdf()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.extras.mvnormcdf

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