How do you use a Jenner fit?

A Jenner fit is a statistical method used to estimate parameters in a model, particularly in the context of generalized additive models (GAMs). To use it, you typically start with a dataset and specify a model that captures the relationships in the data. Then, you apply the Jenner fit algorithm to optimize the model parameters, often using techniques like backfitting or penalized likelihood approaches. Finally, you evaluate the fit of the model using diagnostic tools to ensure it adequately reflects the underlying patterns in the data.