mrc.mean1: Segmenting data using PELT funtion.

In cpcens: Changepoint Analysis using Censored Time Series Data

Description

To find changepoints using mrc method consisting of many related univariate timeseries, segmenting the data using PELT function (Killick, Fearnhead, and Eckley 2012) in such a way that cost is minimum.

Usage

mrc.mean1(data, beta = 1.5 * log(n))

Arguments

data	a censored data matrix.
beta	default 1.5*log(n).

Value

data

Examples

#example(right censoring)
library(cpcens)
data("censoredex")
data=censoredex
n=144
mrc = mrc.mean1( data , beta = 1.5*log(n) )
mrc

cpcens documentation built on Aug. 2, 2019, 5:05 p.m.