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recometrics

0.1.6-3Package record

Evaluation Metrics for Implicit-Feedback Recommender Systems

0packages depend
3.1Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Calculates evaluation metrics for implicit-feedback recommender systems that are based on low-rank matrix factorization models, given the fitted model matrices and data, thus allowing to compare models from a variety of libraries. Metrics include P@K (precision-at-k, for top-K recommendations), R@K (recall at k), AP@K (average precision at k), NDCG@K (normalized discounted cumulative gain at k), Hit@K (from which the 'Hit Rate' is calculated), RR@K (reciprocal rank at k, from which the 'MRR' or 'mean reciprocal rank' is calculated), ROC-AUC (area under the receiver-operating characteristic curve), and PR-AUC (area under the precision-recall curve). These are calculated on a per-user basis according to the ranking of items induced by the model, using efficient multi-threaded routines. Also provides functions for creating train-test splits for model fitting and evaluation.

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>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "David",
                    family = "Cortes",
                    role = c("aut", "cre"),
                    email = "david.cortes.rivera@gmail.com")
as necessary.
Additional issues

CRAN check page ↗

Slowest check: 3.9 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-04-10
  • ERROR12 OK, 1 NOTE, 1 ERROR2026-04-09
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.6-3
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
Examples that run
100%1 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #16,014 · ~9/day · ~259/mo
Daily download trend is not available in this view yet.
27930 days
78190 days
3.1K1 year
Compare downloads with other packages →
Also on342 r2u7 autocran

Repository

32Stars
3Forks
0Open issues
0Open PRs
0Releases
68Commits
2Commit identities
recommender-systemsmatrix-factorizationimplicit-feedback
License file reads as BSD-2-Clause · 68 commits · Last activity 2025-05-09
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

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

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

Installing recometrics adds 4 packages (4 with compiled code, 3.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, float 1.3 MB, MatrixExtra 208 KB.

Depends (0)
none
Imports (6)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1.2 (2021)

Releases (7)

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
  • 0.1.6-3Latest
    record
    2023-02-20 · current release · diff ↗
  • 0.1.6-1
    record
    2022-08-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.6
    record
    2022-01-20 · diff ↗
  • 0.1.5-2
    record
    2021-10-14 · diff ↗
  • 0.1.5
    record
    2021-09-02 · diff ↗
  • 0.1.3
    record
    2021-07-20 · diff ↗
  • 0.1.2
    record
    2021-07-15
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-07-15
Total releases
7 / 5 yrs
License
BSD_2_clause + file LICENSE OSI
Download size
120 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("recometrics")

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 recometrics version 0.1.6-3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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