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MFT (version 2.0)

The Multiple Filter Test for Change Point Detection

Description

Provides statistical tests and algorithms for the detection of change points in time series and point processes - particularly for changes in the mean in time series and for changes in the rate and in the variance in point processes. References - Michael Messer, Marietta Kirchner, Julia Schiemann, Jochen Roeper, Ralph Neininger and Gaby Schneider (2014), A multiple filter test for the detection of rate changes in renewal processes with varying variance . Stefan Albert, Michael Messer, Julia Schiemann, Jochen Roeper, Gaby Schneider (2017), Multi-scale detection of variance changes in renewal processes in the presence of rate change points . Michael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider (2017), Multi-scale detection of rate changes in spike trains with weak dependencies . Michael Messer, Stefan Albert and Gaby Schneider (2018), The multiple filter test for change point detection in time series . Michael Messer, Hendrik Backhaus, Albrecht Stroh and Gaby Schneider (2019+) Peak detection in time series.

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Version

Install

install.packages('MFT')

Monthly Downloads

141

Version

2.0

License

GPL-3

Maintainer

Michael Messer

Last Published

March 11th, 2019

Functions in MFT (2.0)

MFT.variance

MFT.variance
MFT.mean

MFT.mean
summary.MFT

summary.MFT
MFT.peaks

MFT.peaks
MFT.rate

MFT.rate
MFT.filterdata

MFT.filterdata
plot.MFT

plot.MFT
MFT.m_est

MFT.m_est