OCC: Odds of Correct Classification (OCC)

In trajeR: Group Based Modeling Trajectory

Odds of Correct Classification (OCC)

Description

The Odds of Correct Classification (OCC) compares the odds of correct assignment using the model's posterior probabilities against the odds of assignment based on the estimated group proportions alone. A high OCC value suggests that the model provides a much better classification than a random assignment.

Usage

OCC(sol, Y, A)

Arguments

sol	A trajectory object returned by the trajeR function.
Y	The response variable matrix, as used in the 'trajeR' call.
A	The time variable matrix, as used in the 'trajeR' call.

Value

A named numeric vector of the same length as the number of groups, containing the OCC for each group.

Examples

data <- read.csv(system.file("extdata", "CNORM2gr.csv", package = "trajeR"))
data <- as.matrix(data)
sol <- trajeR(Y = data[, 2:6], A = data[, 7:11], Risk = data[, 12, drop = FALSE],
              degre = c(2, 2), Model = "CNORM", Method = "EM")
OCC(sol, Y = data[, 2:6], A = data[, 7:11])

trajeR documentation built on Aug. 4, 2026, 1:09 a.m.