Plots the component functions of a GeDSboost object fitted using
NGeDSboost. If the model has a single base-learner, the plot
will be returned on the response scale. Otherwise, plots are produced on the
linear predictor scale. Note that only univariate base-learner plots are
returned, as representation of the boosted model as a single spline model is
available only for univariate base-learners (see Dimitrova et al. (2025)). In
addition since component-wise gradient boosting inherently performs base-learner
selection, you should only expect plots for the base-learners that where selected
across the boosting iterations.
# S4 method for GeDSboost,ANY
plot(x, n = 3L, ...)a GeDSboost-class object from which the GeDSboost fit
should be extracted.
integer value (2, 3 or 4) specifying the order (\(=\) degree \(+ 1\)) of the FGB-GeDS fit to be extracted.
further arguments to be passed to the
plot.default function.
Dimitrova, D. S., Kaishev, V. K. and Saenz Guillen, E. L. (2025). GeDS: An R Package for Regression, Generalized Additive Models and Functional Gradient Boosting, based on Geometrically Designed (GeD) Splines. Manuscript submitted for publication.