Package: BSSasymp 1.2-4

Klaus Nordhausen

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.

Authors:Jari Miettinen [aut], Klaus Nordhausen [cre, aut], Hannu Oja [aut], Sara Taskinen [aut]

BSSasymp_1.2-4.tar.gz
BSSasymp_1.2-4.tar.gz(r-4.7-arm64)BSSasymp_1.2-4.tar.gz(r-4.7-x86_64)BSSasymp_1.2-4.tar.gz(r-4.6-arm64)BSSasymp_1.2-4.tar.gz(r-4.6-x86_64)
BSSasymp_1.2-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BSSasymp/json (API)

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

cpp

1.34 score 22 scripts 278 downloads 21 exports 6 dependencies

Last updated from:bcc5270d61. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK133
linux-devel-x86_64OK134
source / vignettesOK172
linux-release-arm64OK106
linux-release-x86_64OK121
wasm-releaseOK100

Exports:alphasASCOV_FastICAdeflASCOV_FastICAdefl_estASCOV_FastICAsymASCOV_FastICAsym_estASCOV_FastICAsym2ASCOV_FastICAsym2_estASCOV_FOBIASCOV_FOBI_estASCOV_JADEASCOV_JADE_estASCOV_SOBIASCOV_SOBI_estASCOV_SOBI_estNASCOV_SOBIdeflASCOV_SOBIdefl_estASCOV_SOBIdefl_estNaSOBICRBeSOBItaus_def

Dependencies:clueclusterfICAJADERcppRcppArmadillo