PGICA-package:
Parallel Group ICA Algorithm
Description
This package implements a Group ICA Alorithm which can run in parallel on clusters and multi-core personal computers. Unlike existing ICA algorithms, this parallel algorithm can analyze very big data. It can be used in many applications including signal processing and neuroimage data analysis.
Details
|
Package: |
| PGICA |
|
Type: |
| Package |
|
Version: |
| 1.0 |
|
Date: |
| 2014-11-12 |
|
License: |
| GPL-2 |
The two main functions in this package are StVal and mica. mica is the main ICA function and StVal calculates initial values for mica.
References
Ani Eloyan, Ciprian M. Crainiceanu and Brian S. Caffo: Likelihood Based Population Independent Component Analysis