Package: SparseICA Type: Package Title: Sparse Independent Component Analysis Version: 0.1.4 Date: 2025-01-15 Author: Zihang Wang [aut, cre] (), Irina Gaynanova [aut] (), Aleksandr Aravkin [aut] (), Benjamin Risk [aut] () Authors@R: c(person(given="Zihang",family= "Wang",role = c("aut","cre"),email="zhwang0378@gmail.com", comment = c(ORCID = "0000-0001-9032-5412")), person(given="Irina",family= "Gaynanova", role = "aut",email="irinagn@umich.edu",comment = c(ORCID = "0000-0002-4116-0268")), person(given="Aleksandr",family= "Aravkin", role = "aut",email="saravkin@uw.edu",comment = c(ORCID = "0000-0002-1875-1801")), person(given="Benjamin", family="Risk",role = "aut",email="benjamin.risk@emory.edu", comment = c(ORCID = "0000-0003-1090-0777"))) Maintainer: Zihang Wang BugReports: https://github.com/thebrisklab/SparseICA/issues URL: https://github.com/thebrisklab/SparseICA Description: Provides an implementation of the Sparse ICA method in Wang et al. (2024) 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. License: GPL-3 LinkingTo: Rcpp, RcppArmadillo RoxygenNote: 7.3.1 Encoding: UTF-8 Imports: Rcpp (>= 1.0.13), MASS (>= 7.3-58), irlba (>= 2.3.5), clue (>= 0.3), ciftiTools (>= 0.16), parallel (>= 4.1) Depends: R (>= 4.1.0) LazyData: true NeedsCompilation: yes Packaged: 2026-10-14 10:16:14 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2025-01-29 19:26:26 UTC RemoteUrl: https://github.com/cran/SparseICA RemoteRef: HEAD RemoteSha: f6f0141843ab6d4b18cb710f355b2cc161a72150