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.


1.0.1: Formatting issue fixed. Thanks to Nathan Lazar (OHSU).

Reference manual

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1.0.2 by Suleiman A Khan, 3 years ago

Browse source code at

Authors: Suleiman A Khan [aut, cre] , Muhammad Ammad-ud-din [aut]

Documentation:   PDF Manual  

Task views: Missing Data

MIT + file LICENSE license

Imports tensor, methods

See at CRAN