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poismf

0.4.0-4Package record

Factorization of Sparse Counts Matrices Through Poisson Likelihood

0packages depend
3.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Creates a non-negative low-rank approximate factorization of a sparse counts matrix by maximizing Poisson likelihood with L1/L2 regularization (e.g. for implicit-feedback recommender systems or bag-of-words-based topic modeling) (Cortes, (2018) arXiv:1811.01908), which usually leads to very sparse user and item factors (over 90% zero-valued). Similar to hierarchical Poisson factorization (HPF), but follows an optimization-based approach with regularization instead of a hierarchical prior, and is fit through gradient-based methods instead of variational inference.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘David Cortes <david.cortes.rivera@gmail.com>’

The Description field contains
  bag-of-words-based topic modeling) (Cortes, (2018) <arXiv:1811.01908>),
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.4.0-4
README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11
Examples that run
100%2 run in a plain check
Exported functions with examples
18%
Documented parameters
97%
Return-value docs
82%
Help pages citing references
9%

Downloads

3.5K
CRAN downloads in the past year
Rank #10,173 · ~10/day · ~292/mo
Daily download trend is not available in this view yet.
36930 days
99990 days
3.5K1 year
Compare downloads with other packages →
Also on368 r2u4 autocran

Repository

47Stars
13Forks
0Open issues
0Open PRs
0Releases
139Commits
2Commit identities
poisson-factorizationimplicit-feedback
License file reads as BSD-2-Clause · 139 commits · Last activity 2025-05-09 · 0% stars, 30d · The default branch showed an older version (0.4.0-3) than CRAN on 2026-10-21
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
36
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-12-10 · 452026-07-07 · 47
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/david-cortes/poismf on 2026-10-21.

Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing poismf adds no packages beyond those that come with R.

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

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.1 (2019), Copyright holder
Copyright holder · added in 0.2.3
Copyright holder of included tnc library
Copyright holder · added in 0.2.3
Copyright holder of included tnc library
Releases (20)

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
  • unarchivedReturned to CRAN
    2023-03-26
  • 0.4.0-4Latest
    record
    2023-03-26 · current release · diff ↗
  • archivedRemoved from CRAN
    2023-01-26
    configure issues were not corrected in time
  • 0.4.0-3
    record
    2023-01-13 · diff ↗
  • 0.4.0-2
    record
    2022-10-25 · diff ↗
  • 0.4.0-1
    record
    2022-08-15 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.0
    record
    2022-02-25 · diff ↗ ·
    removed 1 export
    poisson.llk
  • 0.3.1-3
    record
    2021-09-26 · diff ↗
  • 0.3.1-2
    record
    2021-09-02 · diff ↗
  • 0.3.1-1
    record
    2021-08-21 · diff ↗
  • 0.3.1
    record
    2021-07-13 · diff ↗
Show 14 earlier eventsHide 14 earlier events
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3.0-1
    record
    2021-05-08 · diff ↗ ·
    removed 1 export
    get.all.predictions
  • 0.3.0
    record
    2021-04-06 · diff ↗
  • 0.2.7
    record
    2021-01-08 · diff ↗ ·
    added 3 exports
    predict.poismf, print.poismf, summary.poismf
  • 0.2.6
    record
    2020-11-13 · diff ↗
  • 0.2.5
    record
    2020-09-12 · diff ↗
  • 0.2.4
    record
    2020-08-26 · diff ↗
  • 0.2.3
    record
    2020-08-10 · diff ↗ ·
    removed 2 exports
    calc.all.counts, evaluate.poisson.llk
    added 2 exports
    get.all.predictions, poisson.llk
  • 0.2.0
    record
    2020-05-27 · diff ↗ ·
    added 9 exports
    poismf_unsafe, factors.single, factors, topN, topN.new, calc.all.counts, get.factor.matrices, get.model.mappings, evaluate.poisson.llk
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.3
    record
    2019-09-05 · diff ↗
  • 0.1.2
    record
    2019-08-29 · diff ↗
  • 0.1.1
    record
    2019-08-01
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-01
Total releases
20 / 7 yrs
License
BSD_2_clause + file LICENSE OSI
Download size
58 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("poismf")
Cortes, D., Nash, S., & Roy, J. (2023). poismf: Factorization of Sparse Counts Matrices Through Poisson Likelihood (Version 0.4.0-4) [Computer software]. https://doi.org/10.32614/CRAN.package.poismf

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 poismf version 0.4.0-4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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