Plot Functional Curves with Confidence Intervals

Generates a plot of functional Beta estimates for specified curves, along with their 95% confidence intervals. This function computes the 95% confidence intervals for each curve based on the covariance matrix and the fitted values from the provided object. The resulting plot includes estimated curves, confidence interval ribbons, and a legend distinguishing the curves.

Usage

plot_ci(object, beta_index = 1, curves)

Arguments

object: An object of class 'vd_fit' or similar, containing the fitted model results, Beta estimates, and evaluation details.
beta_index: An integer specifying which Beta coefficient matrix to use. Default is 1.
curves: A numeric vector specifying the indices of the curves (rows) to plot.

Value

A ggplot2 object displaying the Beta estimates and confidence intervals for the specified curves.

Examples

if (FALSE) { # \dontrun{
if (requireNamespace("ggplot2", quietly = TRUE)) {
  # Assuming `model_object` is an object of class 'vd_fit'
  plot_functional_curves_combined(model_object, beta = 1, curves = c(50, 70, 100))
}
} # }