tensorBF: an R package for Bayesian tensor factorization
Keywords: tensor, tensorBF
Abstract: We present the R package tensorBF, which is the first R package providing
Bayesian factorization of a tensor. Our package implements a generative model that
automatically identifies the number of factors needed to explain the tensor, over-
coming a key limitation of traditional tensor factorizations. We also recommend
best practices when using tensor factorizations for both, explorative and predictive
analysis with an example application on drug response dataset. The package also
implements tools related to the normalization of data, informative noise priors and
visualisation. Conclusions: The tensorBF package allows Bayesian factorization
of tensor datasets in the R statistical environment and is made freely available at https://cran.r-project.org/package=tensorBF
Submission Number: 10
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