R Observatory: Metrics for MFT version 3.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MFT

3.1Package record

The Multiple Filter Test for Change Point Detection

0packages depend

1.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Michael MesserCRAN page ↗

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 doi:10.1214/14-AOAS782. 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 doi:10.1111/jtsa.12254. Michael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider (2017), Multi-scale detection of rate changes in spike trains with weak dependencies doi:10.1007/s10827-016-0635-3. Michael Messer, Stefan Albert and Gaby Schneider (2018), The multiple filter test for change point detection in time series doi:10.1007/s00184-018-0672-1. Michael Messer, Hendrik Backhaus, Albrecht Stroh and Gaby Schneider (2020) A multi-scale approach for testing and detecting peaks in time series doi:10.1080/02331888.2020.1823980.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("MFT", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mft

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-MFT

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-MFT

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-16
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 3.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

1.3K

CRAN downloads in the past year

Rank #24,489 · ~3/day · ~105/mo

Releases R versions

Daily download trend is not available in this view yet.

35430 days

49890 days

1.3K1 year

Compare downloads with other packages →

Also on74 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing MFT adds no packages beyond those that come with R.

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Michael Messer

Author, Maintainer since 1.3 (2017)

Stefan Albert

Author

Solveig Plomer

Author

Gaby Schneider

Author

Releases (3)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-09-16
3.1Latest
record
2026-09-16 · current release · diff ↗
archivedRemoved from CRAN
2026-05-06
email to the maintainer is undeliverable
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
2.0
record
2019-03-11 · diff ↗ ·
added 2 exports
MFT.filterdata, MFT.peaks
R
R 3.5.0 released · 2018-04-23
1.3
record
2017-09-15
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-09-15
Total releases: 3 / 9 yrs
License: GPL-3 OSI
Download size: 32 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MFT")

Format

Messer, M., Albert, S., Plomer, S., & Schneider, G. (2026). MFT: The Multiple Filter Test for Change Point Detection (Version 3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MFT

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MFT version 3.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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