adequacy: Model Adequacy Assessment

In trajeR: Group Based Modeling Trajectory

Model Adequacy Assessment

Description

Provides a summary table of model adequacy metrics, including estimated group probabilities, confidence intervals, assignment proportions, Average Posterior Probability (AvePP), and Odds of Correct Classification (OCC).

Usage

adequacy(sol, Y, A, nb = 10000, alpha = 0.98)

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.
nb	Integer. The number of repetitions for the bootstrap confidence interval.
alpha	Real. The degree of confidence of the interval.

Value

A table of reals. A table with 5 rows: the estimate probabilities, the two bounds of the confidence interval, the proportion of assignment, the Average Posterior Probability and the Odds of Correct Classification.

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], degre = c(2, 2), Model = "CNORM", Method = "L")
adequacy(sol, Y = data[, 2:6], A = data[, 7:11])

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