raptools (version 1.23.0)

statistics.classNRI: Reclassification metrics with classes (ordinals) as inputs

Description

The function statistics.classNRI calculates the NRI metrics for reclassification of data already in classes. For use by CI.classNRI.

Usage

statistics.classNRI(c1, c2, y, s1 = NULL, s2 = NULL)

Value

A matrix of metrics for use within CI.classNRI

Arguments

c1

Risk class of Reference model (ordinal factor).

c2

Risk class of New model (ordinal factor)

y

Binary of outcome of interest. Must be 0 or 1.

s1

The savings or benefit when an event is reclassified to a higher group by the new model. i.e instead of counting as 1 an event classified to a higher group, it is counted as s1.

s2

The benefit when a non-event is reclassified to a lower group. i.e instead of counting as 1 an event classified to a lower group, it is counted as s2.

Examples

# Quick example
data(data_class)
data_subset <- data_class[1:100, ]  # Use first 100 rows for speed
y <- data_subset$outcome 
c1 <- data_subset$base_class
c2 <- data_subset$new_class
output <- statistics.classNRI(c1, c2, y)

# \donttest{
# Full dataset example
data(data_class)
y <- data_class$outcome 
c1 <- data_class$base_class
c2 <- data_class$new_class
output <- statistics.classNRI(c1, c2, y) 
# }