Visualize the residuals (differences between observed and fitted values) over time to assess model fit. Ideally, residuals should show no systematic patterns and be randomly scattered around zero.
Usage
ou_plot_fit_residuals(
fit,
palette = "Dark 3",
main = "Residuals over Time",
xlab = "Time",
ylab = "Residual",
alpha = 0.8,
...
)Arguments
- fit
A
fit_affectOUobject- palette
Color palette. Should be one of
grDevices::hcl.pals().- main
Main title
- xlab
X-axis label
- ylab
Y-axis label
- alpha
Alpha transparency for colors (0 = transparent, 1 = opaque)
- ...
Additional graphical parameters
Examples
model <- affectOU(theta = 0.5, mu = 0, gamma = 1)
sim <- simulate(model, stop = 500, dt = 0.01, save_at = 0.1)
data <- as.data.frame(sim)
fitted <- fit(model, data = data$value, times = data$time)
ou_plot_fit_residuals(fitted)