Evaluation visualization

Overlays predictions and ground truth on the series with tolerance windows, colouring true positives, false positives, and misses. Uses the same one-to-one matching as cpt_metrics(), so the plot and the metrics agree.

Usage

ggcpt_eval(pred, truth, data_vec, margin = 5)

Arguments

pred

Predicted changepoint indices.

truth

Ground truth changepoint indices.

data_vec

The original data vector (for context).

margin

Tolerance margin (default 5).

Value

A ggplot object.

See also

Other plotting: ggcpt_compare_table(), ggcpt_interactive(), ggcptplot(), ggecpplot()

Examples

set.seed(2026)
x <- c(rnorm(100), rnorm(100, 5))
fit <- cpt_detect(x, method = "pelt")
ggcpt_eval(fit$changepoints$cp, truth = 100, data_vec = x)