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SparseICA  

Sparse Independent Component Analysis
View on CRAN: Click here


Download and install SparseICA package within the R console
Install from CRAN:
install.packages("SparseICA")

Install from Github:
library("remotes")
install_github("cran/SparseICA")

Install by package version:
library("remotes")
install_version("SparseICA", "0.1.4")



Attach the package and use:
library("SparseICA")
Maintained by
Zihang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-29
Latest Update: 2025-01-29
Description:
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.
How to cite:
Zihang Wang (2025). SparseICA: Sparse Independent Component Analysis. R package version 0.1.4, https://cran.r-project.org/web/packages/SparseICA. Accessed 12 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited SparseICA R package
View SparseICA citation profile
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Complete documentation for SparseICA
Functions, R codes and Examples using the SparseICA R package
Full SparseICA package functions and examples
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