Usage
decision_curve_analysis(y_true, y_pred, thresholds = NULL)
Arguments
- y_true
Integer 0/1 vector.
- y_pred
Predicted probabilities.
- thresholds
Numeric vector of thresholds (defaults to
seq(0.01, 0.99, 0.01)).
Value
An object of class "class_name".
Examples
set.seed(1)
y <- rbinom(200, 1, 0.4)
p <- plogis(rnorm(200))
res <- decision_curve_analysis(y, p)
head(res$net_benefit)
#> [1] 0.4090909 0.4030612 0.3969072 0.3906250 0.3842105 0.3779787
