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: 2026-10-04 12:34:36 UTC; root
Repository: https://suleimank.r-universe.dev
Date/Publication: 2018-10-02 17:10:03 UTC
RemoteUrl: https://github.com/cran/tensorBF
RemoteRef: HEAD
RemoteSha: bf051a0197eeab6971c959530c1e51cfe311dcc4