adequacy: Adequacy of the model

In trajeR: Group Based Modeling Trajectory

Adequacy of the model

Description

Calculate the summary of the five methods : assignment proportion, average posterior probability, confidence interval, odds of Correct Classification.

Usage

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

Arguments

sol	Trajectory's object. An object of type Trajectory.
Y	Matrix. A matrix containing the variables in the model.
A	Matrix. A matrix containing the time variable data.
nb	Integer. The numbers of repetitions in the bootstrap method.
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 = "EM")
adequacy(sol, Y = data[, 2:6], A = data[, 7:11])

trajeR documentation built on March 18, 2022, 6:12 p.m.