Package: SparseICA 0.1.4
Zihang Wang
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.
Authors:
SparseICA_0.1.4.tar.gz
SparseICA_0.1.4.zip(r-4.7-x86_64)SparseICA_0.1.4.zip(r-4.7-arm64)SparseICA_0.1.4.zip(r-4.6-x86_64)SparseICA_0.1.4.zip(r-4.6-arm64)
SparseICA_0.1.4.tar.gz(r-4.7-arm64)SparseICA_0.1.4.tar.gz(r-4.7-x86_64)SparseICA_0.1.4.tar.gz(r-4.6-arm64)SparseICA_0.1.4.tar.gz(r-4.6-x86_64)
SparseICA_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SparseICA/json (API)
| # Install 'SparseICA' in R: |
| install.packages('SparseICA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thebrisklab/sparseica/issues
- example_sim123 - Example sim123 Dataset
Last updated from:f6f0141843. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 121 | ||
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 180 | ||
| linux-release-arm64 | OK | 119 | ||
| linux-release-x86_64 | OK | 142 | ||
| windows-devel-arm64 | OK | 248 | ||
| windows-devel-x86_64 | OK | 147 | ||
| windows-release-arm64 | OK | 235 | ||
| windows-release-x86_64 | OK | 131 | ||
| wasm-release | OK | 148 |
Exports:BIC_sparseICAcreate_group_listest.M.olsgen_groupPCgroup_sparseICAmatchICArelax_and_split_ICAsignchangesparseICAwhitener
Dependencies:abindbase64encbitopsbslibcachemciftiToolscliclueclusterdigestdotCall64evaluatefastmapfieldsfontawesomefsgiftihighrhtmltoolshtmlwidgetsirlbajquerylibjsonliteknitrlatticelifecyclemagrittrmapsMASSMatrixmemoisemimeoro.niftiR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadillorglrlangrmarkdownRNiftisassspamtinytexviridisLitexfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| BIC-like Criterion for Tuning Parameter Selection in Sparse ICA | BIC_sparseICA |
| Create a List of fMRI Files for Group ICA Analysis | create_group_list |
| Estimate mixing matrix from estimates of components | est.M.ols |
| Example sim123 Dataset | example_sim123 |
| Generate Group-Level Principal Components (PCs) for fMRI Data | gen_groupPC |
| Function for generating random starting points | gen.inits |
| For a given angle theta, returns a d x d Givens rotation matrix | givens.rotation |
| Perform Group Sparse Independent Component Analysis (Sparse ICA) | group_sparseICA |
| Match ICA results based on L2 distances and Hungarian | matchICA |
| Relax-and-split ICA Function for Sparse ICA wrapper | relax_and_split_ICA |
| Change the sign of S and M matrices to positive skewness. | signchange |
| Soft-threshold function | soft_thresh_R |
| Sparse Independent Component Analysis (Sparse ICA) Function | sparseICA |
| Convert angle vector into orthodox matrix | theta2W |
| The function for perform whitening. | whitener |