BSSasymp
Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates
Functions to compute the asymptotic covariance matrices of mixing and unmixing matrix estimates of the following blind source separation (BSS) methods: symmetric and squared symmetric FastICA, regular and adaptive deflation-based FastICA, FOBI, JADE, AMUSE and deflation-based and symmetric SOBI. Also functions to estimate these covariances based on data are available.
- Version1.2-3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- BSSasymp citation info
- Last release12/10/2021
Documentation
Team
Klaus Nordhausen
MaintainerShow author detailsJari Miettinen
Hannu Oja
Show author detailsRolesAuthorSara Taskinen
Insights
Last 30 days
This package has been downloaded 458 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 22 times.
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Last 365 days
This package has been downloaded 3,962 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Mar 28, 2025 with 89 downloads.
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Dependencies
- Imports2 packages
- Reverse Suggests1 package