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'))

Peer review:

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

1.70 score 131 downloads 11 exports 3 dependencies

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

TargetResultDate
Doc / VignettesOKNov 15 2024
R-4.5-linuxOKNov 15 2024

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

Dependencies:BSSprepRcppRcppArmadillo