Calculate the confidence interval of the probabilities with bootstrap method. We have to specify the number of the repetitions of bootstrap and the degree of confidence.
ConfIntT(sol, Y, A, nb = 10000, alpha = 0.98)Trajectory's object. An object of type Trajectory.
Matrix. A matrix containing the variables in the model.
Matrix. A matrix containing the time variable data.
An integer. The number of repetitions in the bootstrap method.
A number. The degree of confidence of the interval.
A vector of reals. The two bounds of the confidence interval given a degree of confidence.
# NOT RUN {
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")
ConfIntT(sol, Y = data[, 2:6], A = data[, 7:11])
# }
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