tensorBF: Bayesian Tensor Factorization

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.

Version: 1.0.2
Imports: tensor, methods
Published: 2018-10-02
DOI: 10.32614/CRAN.package.tensorBF
Author: Suleiman A Khan [aut, cre], Muhammad Ammad-ud-din [aut]
Maintainer: Suleiman A Khan <khan.suleiman at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: tensorBF citation info
Materials: NEWS
In views: MissingData
CRAN checks: tensorBF results


Reference manual: tensorBF.pdf


Package source: tensorBF_1.0.2.tar.gz
Windows binaries: r-devel: tensorBF_1.0.2.zip, r-release: tensorBF_1.0.2.zip, r-oldrel: tensorBF_1.0.2.zip
macOS binaries: r-release (arm64): tensorBF_1.0.2.tgz, r-oldrel (arm64): tensorBF_1.0.2.tgz, r-release (x86_64): tensorBF_1.0.2.tgz, r-oldrel (x86_64): tensorBF_1.0.2.tgz
Old sources: tensorBF archive


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