plot.gmwm2_fit: Plot method for a 'gmwm2_fit' object

In gmwmx2: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data

Plot method for a gmwm2_fit object

Description

Plots empirical wavelet variance with the fitted theoretical curve and, for sum models, component-implied theoretical curves.

Usage

## S3 method for class 'gmwm2_fit'
plot(
  x,
  show_ci = TRUE,
  col_emp = "black",
  col_theo = "darkorange",
  col_ci = "#e6f7fb",
  lwd = 2,
  pch_emp = 16,
  pch_theo = 21,
  cex_theo = 1.4,
  legend_pos = "auto",
  ...
)

Arguments

x	A gmwm2_fit object.
show_ci	Logical; if TRUE and available, show empirical CI bars.
col_emp	Color for empirical WV points/line.
col_theo	Color for theoretical WV line.
col_ci	Color for empirical WV CI band.
lwd	Line width for theoretical curve.
pch_emp	Plotting character for empirical points.
pch_theo	Plotting character for theoretical points.
cex_theo	Size for theoretical points.
legend_pos	Legend position (e.g., "topleft") or "auto".
...	Additional arguments passed to plot().

Value

The input object, invisibly.

Examples

n = 10000
mod = wn(20) + ar1(phi = .995, sigma2 = .2)
y = generate(mod, n = n, seed = 123)
plot(y)
fit = gmwm2(y, model = wn() + ar1() )
fit
plot(fit)

gmwmx2 documentation built on June 10, 2026, 5:06 p.m.