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A set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hadamard product for a list of matrices.
Version: | 1.4.8 |
Depends: | R (≥ 2.10.0) |
Imports: | methods |
Published: | 2021-05-15 |
DOI: | 10.32614/CRAN.package.rTensor |
Author: | James Li and Jacob Bien and Martin Wells |
Maintainer: | Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/rikenbit/rTensor |
NeedsCompilation: | no |
Citation: | rTensor citation info |
Materials: | NEWS |
CRAN checks: | rTensor results |
Reference manual: | rTensor.pdf |
Package source: | rTensor_1.4.8.tar.gz |
Windows binaries: | r-devel: rTensor_1.4.8.zip, r-release: rTensor_1.4.8.zip, r-oldrel: rTensor_1.4.8.zip |
macOS binaries: | r-release (arm64): rTensor_1.4.8.tgz, r-oldrel (arm64): rTensor_1.4.8.tgz, r-release (x86_64): rTensor_1.4.8.tgz, r-oldrel (x86_64): rTensor_1.4.8.tgz |
Old sources: | rTensor archive |
Reverse imports: | ccTensor, dcTensor, DelayedTensor, fase, gcTensor, iTensor, LTAR, mwTensor, nnTensor, parafac4microbiome, rMultiNet, rTensor2, RTFA, scITD, scTensor, SmoothTensor, TDbasedUFE, TDbasedUFEadv, TensorClustering, tensorMiss, TensorPreAve, tensorTS, Tlasso, TransGraph, TransTGGM, TRES, WormTensor |
Reverse suggests: | oddnet |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.