Plot Quantile Variable Importance (QVI) — eval.plot.QVI • SPQRX

This function generates a line plot of variable effects across quantiles using the Quantile Variable Importance (QVI) calculated from a fitted SPQRX model.

Usage

eval.plot.QVI(
  model,
  x,
  var.indexs,
  lower_quantile = 0.1,
  upper_quantile = 0.9,
  quantile_increment = 0.1
)

Arguments

model: A fitted SPQRX or SPQRx model object.
x: A data frame or matrix of covariates used for evaluation.
var.indexs: An integer vector specifying which covariates to plot.
lower_quantile: Numeric. Lower quantile bound (default 0.1).
upper_quantile: Numeric. Upper quantile bound (default 0.9).
quantile_increment: Numeric. Step size between quantiles (default 0.1).

Value

A plot is displayed. No object is returned.

Details

The function computes Quantile Variable Importance (QVI) for the selected covariates and visualizes them using a line plot. Each line represents a covariate, and the x-axis corresponds to quantiles (in percentages).

Examples

if (FALSE) { # \dontrun{
eval.plot.QVI(model = fitted_model, x = x_test, var.indexs = c(1,2,3))
} # }