Package: rTensor
Type: Package
Title: Tools for Tensor Analysis and Decomposition
Version: 1.3
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)
Depends: methods, R (>= 2.10.0)
LazyData: true
Date: 2015-12-14
URL: http://jamesyili.github.io/rTensor
Packaged: 2015-12-14 19:17:47 UTC; jamesyili
RoxygenNote: 5.0.1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-12-15 00:56:41

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