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.
Version: 0.1.4 Depends: R (≥ 4.1.0) Imports: Rcpp (≥ 1.0.13), MASS (≥ 7.3-58), irlba (≥ 2.3.5), clue (≥ 0.3), ciftiTools (≥ 0.16), parallel (≥ 4.1) LinkingTo: Rcpp, RcppArmadillo Published: 2025-01-29 DOI: 10.32614/CRAN.package.SparseICA Author: Zihang Wang [aut, cre], Irina Gaynanova [aut], Aleksandr Aravkin [aut], Benjamin Risk [aut] Maintainer: Zihang Wang <zhwang0378 at gmail.com> BugReports: https://github.com/thebrisklab/SparseICA/issues License: GPL-3 URL: https://github.com/thebrisklab/SparseICA NeedsCompilation: yes Citation: SparseICA citation info CRAN checks: SparseICA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SparseICA to link to this page.
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