R Observatory: Metrics for fabisearch version 0.0.4.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fabisearch

0.0.4.5Package record

Change Point Detection in High-Dimensional Time Series Networks

0packages dependsuggested by 1

3.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Martin OndrusCRAN page ↗GitHub ↗

Implementation of the Factorized Binary Search (FaBiSearch) methodology for the estimation of the number and the location of multiple change points in the network (or clustering) structure of multivariate high-dimensional time series. The method is motivated by the detection of change points in functional connectivity networks for functional magnetic resonance imaging (fMRI) data. FaBiSearch uses non-negative matrix factorization (NMF), an unsupervised dimension reduction technique, and a new binary search algorithm to identify multiple change points. It requires minimal assumptions. Lastly, we provide interactive, 3-dimensional, brain-specific network visualization capability in a flexible, stand-alone function. This function can be conveniently used with any node coordinate atlas, and nodes can be color coded according to community membership, if applicable. The output is an elegantly displayed network laid over a cortical surface, which can be rotated in the 3-dimensional space. The main routines of the package are detect.cps(), for multiple change point detection, est.net(), for estimating a network between stationary multivariate time series, net.3dplot(), for plotting the estimated functional connectivity networks, and opt.rank(), for finding the optimal rank in NMF for a given data set. The functions have been extensively tested on simulated multivariate high-dimensional time series data and fMRI data. For details on the FaBiSearch methodology, please see Ondrus et al. (2021) arXiv:2103.06347. For a more detailed explanation and applied examples of the fabisearch package, please see Ondrus and Cribben (2022), preprint.

Changes in 0.0.4.5

Minor Changes ##

detect.cps ###

1. number of cores for parallelization added as an input ("ncores")

2. dependency to "pkgmaker" removed

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mondrus96/FaBiSearch")

Development version from mondrus96/FaBiSearch. Installs pak first if it is not already available.

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-fabisearch

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

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Martin Ondrus <mondrus@ualberta.ca>’

The Description field contains
  (2021) <arXiv:2103.06347>. For a more detailed explanation and applied
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.4 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.4.5

READMENoVignettesNoNEWSYes · 33% structured · mentions 0.0.4.5Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 0%4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 42%

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #10,950 · ~9/day · ~265/mo

Releases R versions

Daily download trend is not available in this view yet.

35730 days

96190 days

3.2K1 year

Compare downloads with other packages →

Also on106 r2u

How downloads are counted

Repository

mondrus96/fabisearch ↗Account: mondrus96

2Stars

0Forks

0Open issues

0Open PRs

0Releases

58Commits

1Commit identities

58 commits · Last activity 2024-08-20

Responsiveness

not measured

Stars over time

2025-05-24 · 22026-07-07 · 2

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mondrus96/fabisearch on 2026-10-21.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing fabisearch adds 56 packages (27 with compiled code, 53 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB. 1 more not on CRAN is not measured.

Depends (2)

R >= 3.10NMF

Imports (6)

rgl reshape2 foreach doParallel doRNGparallel

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

ggchangepoint

How these are counted

Code & Tests

Datasets

People & History

People (2)

Martin Ondrus

Author, Maintainer since 0.0.2.4 (2021)

Ivor Cribben

Author

Releases (7)

Pick two releases to compare their code metrics.

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
unarchivedReturned to CRAN
2023-01-12
0.0.4.5Latest
record
2023-01-12 · current release · diff ↗
archivedRemoved from CRAN
2022-11-20
requires archived package 'pkgmaker'
R
R 4.2.0 released · 2022-04-22
0.0.4.4
record
2022-03-15 · diff ↗
0.0.4.3
record
2022-03-03 · diff ↗
0.0.4.1
record
2022-02-08 · diff ↗
unarchivedReturned to CRAN
2021-11-23
0.0.3.9
record
2021-11-23 · diff ↗
archivedRemoved from CRAN
2021-10-26
check problems were not corrected in time
0.0.3.6
record
2021-10-09 · diff ↗
R
R 4.1.0 released · 2021-05-18

Show 2 earlier eventsHide 2 earlier events

0.0.2.4
record
2021-02-24
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-24
Total releases: 7 / 5 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.10
Bundled data: 3.4 MB / 7 files
Download size: 3.7 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fabisearch")

Format

Ondrus, M., & Cribben, I. (2023). fabisearch: Change Point Detection in High-Dimensional Time Series Networks (Version 0.0.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.fabisearch

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 fabisearch version 0.0.4.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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