Plot Predicted Probability Density Function (PDF) for a Single Observation

Generates a plot of the predicted probability density function (PDF) for a single observation using a fitted SPQRX model. The x-axis is the response variable y, and the y-axis represents the predicted density. The plot is restricted to the range between the 1st and 99th predicted quantiles for better visualization.

Usage

eval.plot.pdf(model, x0, npdf_points = 500)

Arguments

model: A fitted SPQRX model object returned by fit_spqrx().
x0: A numeric vector representing the covariate values for the observation to plot.
npdf_points: Integer. Number of points to evaluate the PDF along the y-axis. Default is 500.

Value

Invisibly returns NULL. Produces a ggplot2 plot of the predicted PDF for the observation.

Details

The function computes the predicted PDF over a grid of y-values from the model's normalized output range. It scales the y-axis based on the model's predicted 1st and 99th quantiles to focus on the main density mass.

Examples

if (FALSE) { # \dontrun{
# Plot PDF for the 102nd observation in the dataset
eval.plot.pdf(model = fitted_model, x0 = x_training[102, ])
} # }