rTensor
| swMATH ID: | 32423 |
| Software Authors: | Li, James; Bien, Jacob; Wells, Martin |
| Description: | R package rTensor: Tools for Tensor Analysis and Decomposition. 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 Hamadard product for a list of matrices. |
| Homepage: | https://cran.r-project.org/web/packages/rTensor/index.html |
| Source Code: |
 https://github.com/cran/rTensor
|
| Dependencies: | R |
| Related Software: | Tensorlab; R; TensorToolbox; Algorithm 862; se3-Transformer; GitHub; TensorLy; nnTensor; testthat; reticulate; deSolve; mosaic; Yacas; CRAN Task Views; SymPy; odeintr; difNLR; Deriv; caracas; Ryacas |
| Cited in: | 6 Documents |
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