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 Hadamard product for a list of matrices.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.9 |
rolling linux/jammy R-4.5 | rTensor_1.4.9.tar.gz |
276.2 KiB |
1.4.9 |
rolling linux/noble R-4.5 | rTensor_1.4.9.tar.gz |
276.9 KiB |
1.4.9 |
rolling source/ R- | rTensor_1.4.9.tar.gz |
32.4 KiB |
1.4.9 |
latest linux/jammy R-4.5 | rTensor_1.4.9.tar.gz |
276.2 KiB |
1.4.9 |
latest linux/noble R-4.5 | rTensor_1.4.9.tar.gz |
276.9 KiB |
1.4.9 |
latest source/ R- | rTensor_1.4.9.tar.gz |
32.4 KiB |
1.4.9 |
2026-04-26 source/ R- | rTensor_1.4.9.tar.gz |
32.4 KiB |
1.4.9 |
2026-04-23 source/ R- | rTensor_1.4.9.tar.gz |
32.4 KiB |
1.4.9 |
2026-04-09 windows/windows R-4.5 | rTensor_1.4.9.zip |
281.0 KiB |
1.4.8 |
2025-04-20 source/ R- | rTensor_1.4.8.tar.gz |
32.1 KiB |