print.DetectCpObj: DetectCpObj print method

In BayesChange: Bayesian Methods for Change Points Analysis

DetectCpObj print method

Description

The DetectCpObj method prints which algorithm was run.

Usage

## S3 method for class 'DetectCpObj'
print(x, ...)

Arguments

x	an object of class DetectCpObj.
...	parameter of the generic method.

Examples

data_mat <- matrix(NA, nrow = 3, ncol = 100)

data_mat[1,] <- as.numeric(c(rnorm(50,0,0.100), rnorm(50,1,0.250)))
data_mat[2,] <- as.numeric(c(rnorm(50,0,0.125), rnorm(50,1,0.225)))
data_mat[3,] <- as.numeric(c(rnorm(50,0,0.175), rnorm(50,1,0.280)))

out <- detect_cp(data = data_mat, n_iterations = 2500, n_burnin = 500,
                params = list(q = 0.25, k_0 = 0.25, nu_0 = 4,
                              S_0 = diag(1,3,3), m_0 = rep(0,3),
                              par_theta_c = 2, par_theta_d = 0.2,
                              prior_var_phi = 0.1), kernel = "ts")
print(out)

BayesChange documentation built on June 10, 2025, 9:09 a.m.