print.SNSeg_Uni: Print SN-based change-point estimates for univariate or...

In SNSeg: Self-Normalization(SN) Based Change-Point Estimation for Time Series

Print SN-based change-point estimates for univariate or bivariate time series (testing the change in correlation between bivariate time series)

Description

Print method for objects of class SNSeg_Uni

Usage

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

Arguments

x	a SNSeg_Uni object
...	not in use

Examples

set.seed(7)
ts <- MAR_Variance(2, "V1")
ts <- ts[,2]
# test the change in a single parameter (variance)
# grid_size defined
result <- SNSeg_Uni(ts, paras_to_test = "variance", confidence = 0.9,
                    grid_size_scale = 0.05, grid_size = 67,
                    plot_SN = FALSE, est_cp_loc = TRUE)
print(result)

SNSeg documentation built on June 22, 2024, 10:50 a.m.