Calculates Integrated Discrimination Improvement with bootstrap confidence intervals
Usage
bootstrapIDI(
new_values,
ref_values,
actual,
direction = ">=",
n_boot = 1000,
conf_level = 0.95
)
Arguments
- new_values
Test values for new test
- ref_values
Test values for reference test
- actual
Binary outcome vector (0/1)
- direction
Classification direction (">=" or "<=")
- n_boot
Number of bootstrap iterations
- conf_level
Confidence level (default 0.95)
Value
List with IDI, confidence intervals, and p-value