Patsy: Contrast Coding Systems for categorical variables
  • References/Python/Statsmodels/Manual

Patsy: Contrast Coding Systems for categorical variables Note

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Generalized Estimating Equations
  • References/Python/Statsmodels/Manual

Generalized Estimating Equations Generalized Estimating Equations estimate generalized linear models for panel, cluster or repeated measures

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Generalized Method of Moments gmm
  • References/Python/Statsmodels/Manual

Generalized Method of Moments gmm statsmodels.gmm contains model classes and functions that are based on estimation with Generalized

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Fitting models using R-style formulas
  • References/Python/Statsmodels/Manual

Fitting models using R-style formulas Since version 0.5.0, statsmodels allows users to fit statistical models

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Import Paths and Structure
  • References/Python/Statsmodels/Manual

Import Paths and Structure We offer two ways of importing functions and classes from statsmodels:

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Linear Mixed Effects Models
  • References/Python/Statsmodels/Manual

Linear Mixed Effects Models Linear Mixed Effects models are used for regression analyses involving dependent data. Such data arise when

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Pitfalls
  • References/Python/Statsmodels/Manual

Pitfalls This page lists issues which may arise while using statsmodels. These can be the result of data-related or statistical problems, software design, ?non-standard? use

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Models for Survival and Duration Analysis
  • References/Python/Statsmodels/Manual

Models for Survival and Duration Analysis Examples import statsmodels.api as

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Empirical Likelihood emplike
  • References/Python/Statsmodels/Manual

Empirical Likelihood emplike Introduction Empirical likelihood is a method of nonparametric inference and estimation that lifts

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Regression Diagnostics and Specification Tests
  • References/Python/Statsmodels/Manual

Regression Diagnostics and Specification Tests Introduction In many cases of statistical analysis, we are

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