SVEMnet (version 3.2.0)

plot.svem_model: Plot Method for SVEM Models (Gaussian / Generic)

Description

Plots actual versus predicted values for an svem_model. This is the default plot for models fit with SVEMnet(..., family = "gaussian") and any other non-binomial models that share the svem_model class.

Usage

# S3 method for svem_model
plot(x, plot_debiased = FALSE, ...)

Value

A ggplot2 object.

Arguments

x

An object of class svem_model.

plot_debiased

Logical; if TRUE, include debiased predictions (when available) as an additional series. Default FALSE.

...

Additional aesthetics passed to ggplot2::geom_point().

Details

Points show fitted values against observed responses; the dashed line is the 45-degree identity. If available and requested, debiased predictions are included as a second series.

This method assumes the fitted object stores the training response in $actual_y and in-sample predictions in $y_pred, as produced by SVEMnet() and glmnet_with_cv().

Examples

if (FALSE) {
  ## --- Gaussian example: simulate, fit, and plot --------------------------
  set.seed(2026)
  n  <- 300
  X1 <- rnorm(n); X2 <- rnorm(n); X3 <- rnorm(n)
  eps <- rnorm(n, sd = 0.4)
  y_g <- 1.2 + 2*X1 - 0.7*X2 + 0.3*X3 + 1.1*(X1*X2) + 0.8*(X1^2) + eps
  dat_g <- data.frame(y_g, X1, X2, X3)

  fit_g <- SVEMnet(
    y_g ~ (X1 + X2 + X3)^2 + I(X1^2) + I(X2^2),
    data          = dat_g,
    family        = "gaussian",
    glmnet_alpha  = c(1, 0.5),
    nBoot         = 60,
    objective     = "auto",
    weight_scheme = "SVEM",
    relaxed       = TRUE
  )

  # Actual vs predicted (with and without debias overlay)
  plot(fit_g, plot_debiased = FALSE)
  plot(fit_g, plot_debiased = TRUE)
}