Independent Component Analysis for Grouped Data
Overview
Contains an implementation of an independent component analysis (ICA) for grouped data. The main function groupICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding for user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website https://sweichwald.de/groupICA/.
Install
Health
CRAN check results are not tracked yet.
- NOTE9 OK, 5 NOTE2026-03-10
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Code & Tests
People & History
- archivedRemoved from CRAN2026-05-27email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.12018-06-19
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-06-19
- Total releases
- 1 / 8 yrs
- License
- AGPL-3 OSI
- Minimum R
- ≥ 3.2.3
- Download size
- 6.2 KB
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