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neuroSCC

1.0.2Package record

Bridging Simultaneous Confidence Corridors and PET Neuroimaging

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').

Changes in 1.0.2
  • Added three new visualization functions for SCC workflows:
  • plotSCCpanel() for one-group SCC band visualization
  • plotSCCcomparisonPanel() for two-group SCC comparison panels
  • plotValidationPanel() for SCC vs SPM validation plots
  • Added new example dataset sccOneGroup
  • Expanded package visualization capabilities for publication-ready figures

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE6 OK, 2 NOTE2026-03-26
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 1,545 wordsVignettesYes · 3 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsiteYes
Help pages
19includes a package overview page
Examples that run
86%12 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3K
CRAN downloads in the past year
Rank #9,627 · ~8/day · ~247/mo
Daily download trend is not available in this view yet.
Also on99 r2u2 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
0Releases
57Commits
1Commit identities
articlecomputational-biologyfunctional-data-analysismedical-imaging
License file reads as CC0-1.0 · 57 commits · Last activity 2025-11-10
Responsiveness
not measured

Stars over time

2020-09-26 · 22026-07-07 · 2
PracticesBeta

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

Checks run against github.com/iguanamarina/phd-2023-scc-vs-spm-group-vs-group on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing neuroSCC adds 29 packages (19 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, oro.nifti 5.0 MB.

Depends (1)
R >= 4.2.0
Imports (7)
dplyrgraphicsmemiscoro.niftistatstidyrutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0.0 (2025), Copyright holder
Thesis advisor
Thesis advisor
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    record
    2026-04-18 · current release · diff ↗ ·
    added 3 exports
    plotSCCcomparisonPanel, plotSCCpanel, plotValidationPanel
  • unarchivedReturned to CRAN
    2026-03-25
  • 1.0.1
    record
    2026-03-25 · diff ↗
  • archivedRemoved from CRAN
    2026-03-09
    requires archived package 'contoureR'
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    record
    2025-03-27
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-03-27
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Additional repositories
iguanamarina.github.io
Minimum R
≥ 4.2.0
Bundled data
803 KB / 4 files
Download size
2.2 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("neuroSCC")
Arias Lopez, J. A., Aguiar Fernandez, P., Gomez Rubio, V., & Haddon Kemp, A. (2026). neuroSCC: Bridging Simultaneous Confidence Corridors and PET Neuroimaging (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.neuroSCC

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for neuroSCC version 1.0.2 [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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