Package: SparseICA 0.1.3
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_0.1.3.tar.gz
SparseICA_0.1.3.zip(r-4.5)SparseICA_0.1.3.zip(r-4.4)SparseICA_0.1.3.zip(r-4.3)
SparseICA_0.1.3.tgz(r-4.5-x86_64)SparseICA_0.1.3.tgz(r-4.5-arm64)SparseICA_0.1.3.tgz(r-4.4-x86_64)SparseICA_0.1.3.tgz(r-4.4-arm64)SparseICA_0.1.3.tgz(r-4.3-x86_64)
SparseICA_0.1.3.tar.gz(r-4.5-noble)SparseICA_0.1.3.tar.gz(r-4.4-noble)
SparseICA_0.1.3.tgz(r-4.4-emscripten)SparseICA_0.1.3.tgz(r-4.3-emscripten)
SparseICA.pdf |SparseICA.html✨
SparseICA/json (API)
# Install 'SparseICA' in R: |
install.packages('SparseICA', repos = c('https://thebrisklab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thebrisklab/sparseica/issues
- example_sim123 - Example sim123 Dataset
Last updated 14 days agofrom:9c9dcdac80. Checks:10 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 30 2025 |
R-4.5-win-x86_64 | OK | Jan 30 2025 |
R-4.5-mac-x86_64 | OK | Jan 30 2025 |
R-4.5-mac-aarch64 | OK | Jan 30 2025 |
R-4.5-linux-x86_64 | OK | Jan 30 2025 |
R-4.4-win-x86_64 | OK | Jan 30 2025 |
R-4.4-mac-x86_64 | OK | Jan 30 2025 |
R-4.4-mac-aarch64 | OK | Jan 30 2025 |
R-4.3-win-x86_64 | OK | Jan 30 2025 |
R-4.3-mac-x86_64 | OK | Jan 30 2025 |
Exports:BIC_sparseICAcreate_group_listest.M.olsgen_groupPCgroup_sparseICAmatchICArelax_and_split_ICAsignchangesparseICAwhitener
Dependencies:abindbase64encbitopsbslibcachemciftiToolscliclueclusterdigestdotCall64evaluatefastmapfieldsfontawesomefsgiftigluehighrhtmltoolshtmlwidgetsirlbajquerylibjsonliteknitrlatticelifecyclemagrittrmapsMASSMatrixmemoisemimeoro.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 |