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

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

Patsy: Contrast Coding Systems for categorical variables Note

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Distributions
  • References/Python/Statsmodels/Manual

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

2025-01-10 15:47:30
Linear Mixed Effects Models
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Linear Mixed Effects Models Linear Mixed Effects models are used for regression analyses involving dependent data. Such data arise when

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

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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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Robust Linear Models
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Robust Linear Models Robust linear models with support for the M-estimators listed under

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

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