ConfIntT: Bootstrap Confidence Intervals for Group Membership...

In trajeR: Group Based Modeling Trajectory

Bootstrap Confidence Intervals for Group Membership Probabilities

Description

Calculates confidence intervals for the estimated group membership probabilities using a parametric bootstrap method. It simulates new theta parameters from a normal distribution based on the estimated theta and their standard errors.

Usage

ConfIntT(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	An integer. The number of repetitions in the bootstrap method.
alpha	A number. The significance level for the confidence interval (e.g., 0.05 for a 95% CI).

Value

A matrix with two rows (lower and upper bounds) and a column for each group, containing the confidence intervals for the estimated probabilities.

Examples

data <- read.csv(system.file("extdata", "CNORM2gr.csv", package = "trajeR"))
sol <- trajeR(Y = data[, 2:6], A = data[, 7:11], degre = c(2, 2), Model = "CNORM", Method = "L")
ConfIntT(sol, Y = data[, 2:6], A = data[, 7:11])

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