Methods › General › Generalized Linear Models
Generalized Linear Models
Generalized Linear Models (GLMs) are a class of models that generalize upon linear regression by allowing many more distributions to be modeled for the response variable via a link function. Below you can find a continuously updating list of GLMs.
Methods
All 3 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| Logistic Regression | – | 1,886 |
| Linear Regression | – | 1,657 |
| Procrustes | – | 81 |