View source: R/model_adequacy.R
ConfIntT | R Documentation |
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)
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 |
An integer. The number of repetitions in the bootstrap method. |
alpha |
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.
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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