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SparseICA: Sparse Independent Component Analysis
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.
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Package details |
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| Author | Zihang Wang [aut, cre] (<https://orcid.org/0000-0001-9032-5412>), Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>), Aleksandr Aravkin [aut] (<https://orcid.org/0000-0002-1875-1801>), Benjamin Risk [aut] (<https://orcid.org/0000-0003-1090-0777>) |
| Maintainer | Zihang Wang <zhwang0378@gmail.com> |
| License | GPL-3 |
| Version | 0.1.4 |
| URL | https://github.com/thebrisklab/SparseICA |
| Package repository | View on CRAN |
| Installation |
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