groupICA
Independent Component Analysis for Grouped Data
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/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling source/ R- | groupICA_0.1.1.tar.gz |
6.1 KiB |
0.1.1 |
rolling linux/jammy R-4.5 | groupICA_0.1.1.tar.gz |
31.0 KiB |
0.1.1 |
rolling linux/noble R-4.5 | groupICA_0.1.1.tar.gz |
31.0 KiB |
0.1.1 |
latest source/ R- | groupICA_0.1.1.tar.gz |
6.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | groupICA_0.1.1.tar.gz |
31.0 KiB |
0.1.1 |
latest linux/noble R-4.5 | groupICA_0.1.1.tar.gz |
31.0 KiB |
0.1.1 |
2026-04-23 source/ R- | groupICA_0.1.1.tar.gz |
6.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | groupICA_0.1.1.zip |
33.9 KiB |
0.1.1 |
2025-04-20 source/ R- | groupICA_0.1.1.tar.gz |
6.1 KiB |