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.
- Version0.1.4
- R versionR (≥ 4.1.0)
- LicenseGPL-3
- Needs compilation?Yes
- SparseICA citation info
- Last release01/29/2025
Team
Zihang Wang
MaintainerShow author detailsBenjamin Risk
Irina Gaynanova
Aleksandr Aravkin
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Last 30 days
This package has been downloaded 128 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
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Last 365 days
This package has been downloaded 372 times in the last 365 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The day with the most downloads was Jan 30, 2025 with 27 downloads.
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Dependencies
- Imports5 packages
- Linking To2 packages