R Observatory: Metrics for fmriAR version 0.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fmriAR

0.3.2Package record

Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data

0packages depend

4.3Kdownloads / year

78.4%test coverage

13/13flavors OK

Overview

About

Maintained by Bradley BuchsbaumCRAN page ↗Website ↗

Lightweight utilities to estimate autoregressive (AR) and autoregressive moving average (ARMA) noise models from residuals and apply matched generalized least squares to whiten functional magnetic resonance imaging (fMRI) design and data matrices. The ARMA estimator follows a classic 1982 approach doi:10.1093/biomet/69.1.81, and a restricted AR family mirrors workflows described by Cox (2012) doi:10.1016/j.neuroimage.2011.08.056.

Changes in 0.3.2

fit_noise() gains a censor parameter for motion scrubbing support. Censored timepoints (e.g., frames with high framewise displacement) are excluded from AR parameter estimation. Accepts either integer indices or a logical vector. The time series is segmented at censor points and ACVF is pooled across valid segments with proper length-weighting.
whiten() now passes censor to both fit_noise() and whiten_apply().
The returned fmriAR_plan object now includes the censor indices for downstream reference.
Fixed a bug where fit_noise(method = "ar", p = <integer>) could ignore the requested fixed AR order and still perform order selection, sometimes returning a different order.
Fixed parcel-mode AR fitting so fixed-order requests only trigger multiscale pooling when that mode is explicitly requested, preserving the expected non-multiscale behavior by default.

Show all changes in 0.3.2Hide the rest of the changes in 0.3.2

Fixed the parcel pacf_weighted multiscale path for p_target = 1, where a dimension drop could break coefficient averaging.

From NEWS.md in the release

Install

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

install.packages("fmriAR", 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-fmriar

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-fmriAR

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-fmriAR

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: 3.3 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
ERROR13 OK, 1 ERROR2026-04-17
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.2

READMEYes · 113 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.3.2Citation fileNoWebsiteYes · pkgdown

Help pages: 9 (2 internal)includes a package overview page
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: 0%

Vignettes (1)

Getting Started with fmriAR HTML

How these are measured

Downloads

4.3K

CRAN downloads in the past year

Rank #8,653 · ~12/day · ~358/mo

Releases R versions

Daily download trend is not available in this view yet.

35930 days

1.1K90 days

4.3K1 year

Compare downloads with other packages →

Also on407 r2u8 autocran

How downloads are counted

Repository

bbuchsbaum/fmriar ↗Account: bbuchsbaum

0Stars

0Forks

6Open issues

3Open PRs

0Releases

Last activity 2026-10-11 · Default branch at 0.4.2, ahead of CRAN 0.3.2 (checked 2026-10-25)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: not measured

Issues over time

2026-07-07 · 12026-10-24 · 6

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/bbuchsbaum/fmriar on 2026-10-25.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-10-11 · The repository has a site deploy workflow

pkgdown site last built 2026-10-11

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2025-09-18
Seen in the repository: CLAUDE.md
Named in .Rbuildignore: .claude, CLAUDE.md
Pull request it wrote: opened by a project member
Commits: 7 by its own account · at least 31 crediting it in the message
Cursorfirst seen 2026-08-07
Pull request it wrote: opened by a project member
Commits: 4 by its own account

Models named in its commits

Claude Fable 519 commits · Aug 2026
Claude Opus 5.57 commits · Oct 2026
Claude Opus 4.52 commits · Jan 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing fmriAR adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 4.0

Imports (2)

Rcppstats

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

testthat knitr rmarkdown abind withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Bradley Buchsbaum

Author, Maintainer since 0.2.0 (2025)

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.3.2Latest
record
2026-04-15 · current release · diff ↗
0.3.1
record
2026-01-25 · diff ↗
0.2.0
record
2025-11-03
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-11-03
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0
Download size: 131 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fmriAR")

Format

Buchsbaum, B. (2026). fmriAR: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data (Version 0.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.fmriAR

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 fmriAR version 0.3.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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