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tensorBF

1.0.2Package record

Bayesian Tensor Factorization

0packages depend
2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Suleiman A Khan <khan.suleiman@gmail.com>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 51 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMENoVignettesNoNEWSYes · 0% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
67%6 run in a plain check · 3 never run
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
89%
Help pages citing references
44%

Also includes 1 demo script (run with demo())

Downloads

2.3K
CRAN downloads in the past year
Rank #20,454 · ~6/day · ~189/mo
Daily download trend is not available in this view yet.
23430 days
65390 days
2.3K1 year
Compare downloads with other packages →
Also on88 r2u3 autocran94 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing tensorBF adds 1 package (0 with compiled code, 2.5 KB of source tarballs). Heaviest: tensor 2.5 KB.

Depends (0)
none
Imports (2)
tensormethods
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 1.0.0 (2016)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • unarchivedReturned to CRAN
    2018-10-02
  • 1.0.2Latest
    record
    2018-10-02 · current release · diff ↗
  • archivedRemoved from CRAN
    2018-05-03
    check problems were not corrected despite reminders
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.1
    record
    2017-01-09 · diff ↗
  • 1.0.0
    record
    2016-12-29
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-12-29
Total releases
3 / 10 yrs
License
MIT + file LICENSE OSI
Download size
19 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("tensorBF")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/097048.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tensorBF version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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