Reluctant Generalized Additive Models
Cross-validation for reluctant generalized additive model (rgam)
Get RGAM model component for one feature
Make non-linear features
Compute ROC and other performance measures for binomial model
Plot the cross-validation curve produced by "cv.rgam" object
Make a plot of rgam model fit
Make predictions from a "cv.rgam" object
Make predictions from a "rgam" object
Print a cross-validated rgam object
Print a rgam object
Fit reluctant generalized additive model
rgam summary routine
A method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) <arXiv:1912.01808> for details.