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.tar.gz(r-4.5-noble)ivaBSS_1.0.0.tar.gz(r-4.4-noble)
ivaBSS_1.0.0.tgz(r-4.4-emscripten)ivaBSS_1.0.0.tgz(r-4.3-emscripten)
ivaBSS.pdf |ivaBSS.html
ivaBSS/json (API)
NEWS

# Install 'ivaBSS' in R:
install.packages('ivaBSS', 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.

1.70 score 181 downloads 11 exports 3 dependencies

Last updated 3 years agofrom:3325b23f4f. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025

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

Dependencies:BSSprepRcppRcppArmadillo