Introduction

Flexible Discriminant Analysis is a classification model based on a mixture of linear regression models, which uses optimal scoring to transform the response variable so that the data are in a better form for linear separation, and multiple adaptive regression splines to generate the discriminant surface.

Advantages

Limitations

Assumptions

Requires absence data

Yes.

Configuration options

BCCVL uses the ‘fda’ package, implemented in biomod2. The user can set the following configuration options:

References