print.ClustCpObj: ClustCpObj print method

In BayesChange: Bayesian Methods for Change Points Analysis

ClustCpObj print method

Description

The ClustCpObj method prints which algorithm was run.

Usage

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

Arguments

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

Examples

data_mat <- matrix(NA, nrow = 5, 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)))
data_mat[4,] <- as.numeric(c(rnorm(25,0,0.135), rnorm(75,1,0.225)))
data_mat[5,] <- as.numeric(c(rnorm(25,0,0.155), rnorm(75,1,0.280)))

out <- clust_cp(data = data_mat, n_iterations = 5000, n_burnin = 1000,
                params = list(L = 1, B = 1000, phi = 0.5), kernel = "ts")

print(out)

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