Plot a cross-validation curve

The held-out loss against the candidate bandwidths, with the selected value marked. Worth a glance every time: if the curve is still falling at an endpoint of the grid, the "selected" bandwidth is where you stopped looking rather than a minimum, and the grid should be widened.

Usage

# S3 method for class 'cv.kee_async'
plot(x, ...)

# S3 method for class 'cv.skmle'
plot(x, ...)

Arguments

x

A cv.skmle or cv.kee_async object.

...

Passed to graphics::plot().

Value

x, invisibly. Called for the plot.

Examples

set.seed(1)
d <- sim_async_data(n = 150)
cv <- d$y |>
  kee_async_cv(d$x, y ~ x,
    id = id, time = time,
    h_grid = c(0.1, 0.2, 0.3, 0.5), K = 3, seed = 1, quiet = TRUE
  )
#> Warning: the selected bandwidth is at an endpoint of 'h_grid'; widen the grid to check that the minimum is interior
plot(cv)