Package: rTensor
Type: Package
Title: Tools for Tensor Analysis and Decomposition
Version: 1.4.8
Author: James Li and Jacob Bien and Martin Wells
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
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 Hadamard product for a list of matrices.
License: GPL (>= 2)
Depends: R (>= 2.10.0)
Imports: methods
Date: 2021-05-14
URL: https://github.com/rikenbit/rTensor
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2021-05-14 04:43:12 UTC; root
Repository: CRAN
Date/Publication: 2021-05-15 06:20:10 UTC

Package: rTensor
Type: Package
Title: Tools for Tensor Analysis and Decomposition
Version: 1.4
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: 2018-12-04 02:00:28 UTC; jamesyili
RoxygenNote: 6.1.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-12-04 10:20:09 UTC