Package: BSSprep 0.1

Markus Matilainen

BSSprep: Whitening Data as Preparation for Blind Source Separation

Whitening is the first step of almost all blind source separation (BSS) methods. A fast implementation of whitening for BSS is implemented to serve as a lightweight dependency for packages providing BSS methods.

Authors:Markus Matilainen [cre, aut], Klaus Nordhausen [aut]

BSSprep_0.1.tar.gz
BSSprep_0.1.tar.gz(r-4.7-arm64)BSSprep_0.1.tar.gz(r-4.7-x86_64)BSSprep_0.1.tar.gz(r-4.6-arm64)BSSprep_0.1.tar.gz(r-4.6-x86_64)
BSSprep_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
BSSprep/json (API)

# Install 'BSSprep' in R:
install.packages('BSSprep', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.08 score 4 packages 347 downloads 1 exports 2 dependencies

Last updated from:c280051ff8. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK109
linux-devel-x86_64OK106
source / vignettesOK171
linux-release-arm64OK110
linux-release-x86_64OK104
wasm-releaseOK109

Exports:BSSprep

Dependencies:RcppRcppArmadillo