cpcens (version 0.1.0)

mrc.mean1: Segmenting data using PELT funtion.

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

# NOT RUN {
#example(right censoring)
library(cpcens)
data("censoredex")
data=censoredex
n=144
mrc = mrc.mean1( data , beta = 1.5*log(n) )
mrc
# }