CRAN/E | iTensor

iTensor

ICA-Based Matrix/Tensor Decomposition

Installation

About

Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md .

github.com/rikenbit/iTensor

Key Metrics

Version 1.0.2
R ≥ 4.1.0
Published 2023-04-28 366 days ago
Needs compilation? no
License MIT
License File
CRAN checks iTensor results

Downloads

Yesterday 10 0%
Last 7 days 53 +15%
Last 30 days 154 +4%
Last 90 days 448 -24%
Last 365 days 1.986 +19%

Maintainer

Maintainer

Koki Tsuyuzaki

k.t.the-answer@hotmail.co.jp

Authors

Koki Tsuyuzaki

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

1. Independent Component Analysis (ICA)
2. Multimodal Independent Component Analysis (MICA) and Group Independent Component Analysis (GroupICA)
3. Multilinear Independent Component Analysis (MultilinearICA)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

iTensor archive

Depends

R ≥ 4.1.0

Imports

MASS
methods
graphics
utils
stats
rTensor
jointDiag
mgcv
einsum
geigen
mixOmics
groupICA

Suggests

nnTensor
knitr
rmarkdown
testthat ≥ 3.0.0

Reverse Imports

mwTensor