This is a regression model for predicting a target value of interested based on nonlinear interactions between input features and a key variable. The key variable is a special input feature that is particularly critical for the target value of interest.
For instance, when predicting a child's weight as a target value of interest, the key predictor may be the child's age.
The module allows you to input a design matrix of multiple input features, designate a key variable among the features, and then fit a regression model learning the relationship and nonlinear interactions between feature and key variable.
For full model description, see paper [here](up date when link is out).
A usage example with sample data is given here for reference.
See here for package requirements.
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