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]

mwTensor_1.1.0.tar.gz
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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:

2.70 score 2 scripts 152 downloads 11 exports 98 dependencies

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

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:CoupledMWCAdefaultCoupledMWCAParamsdefaultMWCAParamsMWCAmyALS_SVDmyCXmyICAmyNMFmySVDplotTensor3DstoyModel

Dependencies:base64encBHBiocParallelbslibcachemccTensorclicodetoolscolorspacecorpcorcpp11digestdotCall64dplyreinsumellipseevaluatefansifarverfastmapfieldsfontawesomeformatRfsfutile.loggerfutile.optionsgeigengenericsggplot2ggrepelgluegridExtragroupICAgsignalgtablehighrhtmltoolshtmlwidgetsigraphisobandiTensorjointDiagjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclemagrittrmapsMASSmathjaxrMatrixmatrixStatsmemoisemgcvmimemisc3dmixOmicsmunsellnlmennTensorpillarpkgconfigplot3DplyrpracmapurrrR6rappdirsrARPACKRColorBrewerRcppRcppEigenreshape2rglrlangrmarkdownRSpectrarTensorsassscalessnowspamstringistringrtagcloudtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml