Sparse Independent Component Analysis
Overview
Provides an implementation of the Sparse ICA method in Wang et al. (2024) doi:10.1080/01621459.2024.2370593 for estimating sparse independent source components of cortical surface functional MRI data, by addressing a non-smooth, non-convex optimization problem through the relax-and-split framework. This method effectively balances statistical independence and sparsity while maintaining computational efficiency.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 15
- Examples that run
- 25%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
- Exported functions with examples
- 30%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 242
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Issues over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/thebrisklab/sparseica on 2026-10-18.
Dependencies
Installing SparseICA adds 48 packages (27 with compiled code, 50 MB of source tarballs). Heaviest: bslib 5.6 MB, ciftiTools 5.2 MB, oro.nifti 5.0 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.1.4Latest2025-01-29 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-01-29
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 414 KB / 1 file
- Download size
- 435 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("SparseICA")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1080/01621459.2024.2370593.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.