Package: ivaBSS 1.0.0

Mika Sipilä

ivaBSS: Tools for Independent Vector Analysis

Independent vector analysis (IVA) is a blind source separation (BSS) model where several datasets are jointly unmixed. This package provides several methods for the unmixing together with some performance measures. For details, see Anderson et al. (2011) <doi:10.1109/TSP.2011.2181836> and Lee et al. (2007) <doi:10.1016/j.sigpro.2007.01.010>.

Authors:Mika Sipilä [aut, cre], Klaus Nordhausen [aut], Sara Taskinen [aut]

ivaBSS_1.0.0.tar.gz
ivaBSS_1.0.0.zip(r-4.7-any)ivaBSS_1.0.0.zip(r-4.6-any)
ivaBSS_1.0.0.tar.gz(r-4.7-any)ivaBSS_1.0.0.tar.gz(r-4.6-any)
ivaBSS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ivaBSS/json (API)

# Install 'ivaBSS' in R:
install.packages('ivaBSS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.70 score 237 downloads 11 exports 3 dependencies

Last updated from:3325b23f4f. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK111
source / vignettesOK188
linux-releaseOK113
windows-develOK72
windows-releaseOK51
wasm-releaseOK100

Exports:avg_ISIcoef.ivacomponents.ivafastIVAjbss_achievedjoint_ISINewtonIVAplot.ivapredict.ivaprint.ivasummary.iva

Dependencies:BSSprepRcppRcppArmadillo