Package: iTensor 1.0.3

Koki Tsuyuzaki

iTensor: ICA-Based Matrix/Tensor Decomposition

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 <https://github.com/rikenbit/iTensor>.

Authors:Koki Tsuyuzaki [aut, cre]

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iTensor/json (API)
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Bug tracker:https://github.com/rikenbit/itensor/issues

On CRAN:

7 exports 1 stars 1.18 score 63 dependencies 1 dependents 2 scripts 191 downloads

Last updated 1 years agofrom:0b875ca9bd. Checks:OK: 7. Indexed: yes.

Exports:CorrIndexGroupICAICAICA2MICAMultilinearICAtoyModel

Dependencies:BHBiocParallelclicodetoolscolorspacecorpcorcpp11dplyreinsumellipsefansifarverformatRfutile.loggerfutile.optionsgeigengenericsggplot2ggrepelgluegridExtragroupICAgtableigraphisobandjointDiaglabelinglambda.rlatticelifecyclemagrittrMASSmathjaxrMatrixmatrixStatsmgcvmixOmicsmunsellnlmepillarpkgconfigplyrpurrrR6rARPACKRColorBrewerRcppRcppEigenreshape2rlangRSpectrarTensorscalessnowstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr