Package: mwTensor 1.1.0

Koki Tsuyuzaki

mwTensor: Multi-Way Component Analysis

For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.

Authors:Koki Tsuyuzaki [aut, cre]

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mwTensor.pdf |mwTensor.html
mwTensor/json (API)
NEWS

# Install 'mwTensor' in R:
install.packages('mwTensor', repos = c('https://rikenbit.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rikenbit/mwtensor/issues

On CRAN:

11 exports 0.63 score 73 dependencies 2 scripts 206 downloads

Last updated 1 years agofrom:36a9f19bab. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winOKAug 31 2024
R-4.5-linuxOKAug 31 2024
R-4.4-winOKAug 31 2024
R-4.4-macOKAug 31 2024
R-4.3-winOKAug 31 2024
R-4.3-macOKAug 31 2024

Exports:CoupledMWCAdefaultCoupledMWCAParamsdefaultMWCAParamsMWCAmyALS_SVDmyCXmyICAmyNMFmySVDplotTensor3DstoyModel

Dependencies:BHBiocParallelccTensorclicodetoolscolorspacecorpcorcpp11dotCall64dplyreinsumellipsefansifarverfieldsformatRfutile.loggerfutile.optionsgeigengenericsggplot2ggrepelgluegridExtragroupICAgtableigraphisobandiTensorjointDiaglabelinglambda.rlatticelifecyclemagrittrmapsMASSmathjaxrMatrixmatrixStatsmgcvmisc3dmixOmicsmunsellnlmennTensorpillarpkgconfigplot3DplyrpurrrR6rARPACKRColorBrewerRcppRcppEigenreshape2rlangRSpectrarTensorscalessnowspamstringistringrtagcloudtibbletidyrtidyselectutf8vctrsviridisLitewithr