Package: tensorBF
Type: Package
Title: Bayesian Tensor Factorization
Version: 1.0.2
Date: 2018-10-01
Authors@R: c(person("Suleiman A", "Khan", role = c("aut","cre"),
		     email = "khan.suleiman@gmail.com"),
		person("Muhammad", "Ammad-ud-din", role = "aut",
		     email = "muhammad.ammad-ud-din@aalto.fi"))
Author: Suleiman A Khan [aut, cre],
  Muhammad Ammad-ud-din [aut]
Maintainer: Suleiman A Khan <khan.suleiman@gmail.com>
Description: Bayesian Tensor Factorization for decomposition of tensor data sets using the trilinear CANDECOMP/PARAFAC (CP) factorization, with automatic component selection. The complete data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The method performs factorization for three-way tensor datasets and the inference is implemented with Gibbs sampling.
License: MIT + file LICENSE
Imports: tensor, methods
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-02 07:20:14 UTC; skhan
Repository: CRAN
Date/Publication: 2018-10-02 18:10:03 UTC
Built: R 4.6.0; ; 2026-04-27 04:26:49 UTC; unix
