The method provides all plotting methods offered by 'xspliner' package. See plot_variable_transition and plot_model_comparison for more details.
# S3 method for xspliner
plot(x, variable_names = NULL, model = NULL,
plot_response = TRUE, plot_approx = TRUE, data = NULL,
plot_data = FALSE, plot_deriv = FALSE, n_plots = 6,
sort_by = NULL, use_coeff = TRUE, compare_with = list(),
prediction_funs = list(function(object, newdata) predict(object,
newdata)), ...)Object of class 'xspliner'.
Names of predictors which transitions should be plotted.
Base model that xspliner is based on.
If TRUE black box model response is drawn.
If TRUE black box model response approximation is drawn.
Training data used for building x model. Required for plot_data option and model comparing.
If TRUE raw data is drawn.
If TRUE derivative of approximation is showed on plot.
Threshold for number of plots when plotting all variables.
When comparing models determines according to which model should observations be ordered.
If TRUE both PDP function and its approximation is scaled with corresponding surrogate model coefficient.
Named list. Other models that should be compared with xspliner and model.
Prediction functions that should be used in model comparison.
Another arguments passed into model specific method.