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.
Categories
- 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