Tools for Tensor Analysis and Decomposition R package rTensor version 1.5.0 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, Tucker, INDSCAL, RESCAL, DEDICOM, PARAFAC2, and 2DLDA. 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. Software Depends: R (>= 2.10.0) Imports: methods Suggests: testthat Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp> Comprehensive R Archive Network (CRAN) James Li [aut], Jacob Bien [aut], Martin Wells [aut], Koki Tsuyuzaki [cre, ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=rTensor/LICENSE) 2026-05-09 application/tgz https://CRAN.R-project.org/package=rTensor doi:10.32614/CRAN.package.rTensor