fastOnlineCpt (version 1.0)

resetAlgorithm: Reset the algorithm in order to detect a new changepoint. The algorithm can be reset at any point in time. To ensure valid multiple testing corrections, the time horizon is not reset to zero.

Description

Reset the algorithm in order to detect a new changepoint. The algorithm can be reset at any point in time. To ensure valid multiple testing corrections, the time horizon is not reset to zero.

Usage

resetAlgorithm(obj)
# S4 method for fastOnlineCpt
resetAlgorithm(obj)

Arguments

obj

An object of the class "fastOnlineCpt".

Value

An object of the class "fastOnlineCpt".

References

Hahn, G. (2021). Online multivariate changepoint detection with type I error control and constant time/memory updates per series. Under review.

Examples

# NOT RUN {
library(fastOnlineCpt)
alpha <- 0.01
halfspent <- 100
spending_sequence <- function(n) { (n/(n+halfspent) - (n-1)/(n-1+halfspent)) * alpha }
obj <- fastOnlineCpt(spending_sequence)
p <- 10
n <- 50
data <- matrix(rnorm(p*n,mean=0),ncol=n)
obj <- addData(obj,data)
obj <- resetAlgorithm(obj)

# }