Package: rTensor
Type: Package
Title: Tools for Tensor Analysis and Decomposition
Version: 1.4.1
Author: James Li and Jacob Bien and Martin Wells
Maintainer: James Li <jamesyili@gmail.com>
Description: 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.
License: GPL (>= 2)
Imports: methods
Depends: R (>= 2.10.0)
LazyData: true
Date: 2018-12-03
URL: http://jamesyili.github.io/rTensor
Packaged: 2020-03-22 09:07:35 UTC; hornik
RoxygenNote: 6.1.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2020-03-22 09:32:41 UTC
Built: R 3.5.3; ; 2020-03-24 00:05:04 UTC; windows
