Package: fICA 1.1-2
Klaus Nordhausen
fICA: Classical, Reloaded and Adaptive FastICA Algorithms
Algorithms for classical symmetric and deflation-based FastICA, reloaded deflation-based FastICA algorithm and an algorithm for adaptive deflation-based FastICA using multiple nonlinearities. For details, see Miettinen et al. (2014) <doi:10.1109/TSP.2014.2356442> and Miettinen et al. (2017) <doi:10.1016/j.sigpro.2016.08.028>. The package is described in Miettinen, Nordhausen and Taskinen (2018) <doi:10.32614/RJ-2018-046>.
Authors:
fICA_1.1-2.tar.gz
fICA_1.1-2.tar.gz(r-4.5-noble)fICA_1.1-2.tar.gz(r-4.4-noble)
fICA_1.1-2.tgz(r-4.4-emscripten)fICA_1.1-2.tgz(r-4.3-emscripten)
fICA.pdf |fICA.html✨
fICA/json (API)
| # Install 'fICA' in R: |
| install.packages('fICA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:c6303a6398. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 20 2024 |
| R-4.5-linux-x86_64 | OK | Sep 20 2024 |
Exports:adapt_fICAcompute_alphasdgffICAgfGfgnamesreloaded_fICA
Dependencies:clueclusterJADERcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classical, Reloaded and Adaptive FastICA Algorithms | fICA-package |
| Adaptive Deflation-based FastICA Method for Independent Component Analysis | adapt_fICA adapt_fICA.default |
| Estimation of Alphas in the Asymptotic Covariance Matrix of the Deflation-based FastICA Estimator | compute_alphas |
| Symmetric and Deflation-based FastICA Methods for Independent Component Analysis | fICA fICA.default |
| Set of Nonlinearities for Adaptive Deflation-based FastICA Method | dgf Gf gf gnames nonlinearities |
| Reloaded Deflation-based FastICA Method for Independent Component Analysis | reloaded_fICA reloaded_fICA.default |
