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Generalized Linear Models

Logistic regression, multinomial regression, Poisson regression, and more

A generalized linear regression model is a special type of nonlinear model that uses linear methods. In a generalized linear regression model, the response variable has a distribution other than normal. However, you can represent the model using a link function and an equation that is linear in the regression coefficients.


  • Generalized Linear Regression
    Generalized linear regression models with various distributions and link functions, including logistic regression
  • Stepwise Regression
    Variable selection in generalized linear model using stepwise regression
  • Regularization
    Ridge regression, lasso, and elastic nets for generalized linear models
  • Mixed Effects
    Generalized linear mixed-effects models