R Observatory: Metrics for RMCLab version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RMCLab

0.1.0Package record

Lab for Matrix Completion and Imputation of Discrete Rating Data

0packages depend

1.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Andreas AlfonsCRAN page ↗GitHub ↗Issues ↗

Collection of methods for rating matrix completion, which is a statistical framework for recommender systems. Another relevant application is the imputation of rating-scale survey data in the social and behavioral sciences. Note that matrix completion and imputation are synonymous terms used in different streams of the literature. The main functionality implements robust matrix completion for discrete rating-scale data with a low-rank constraint on a latent continuous matrix (Archimbaud, Alfons, and Wilms (2025) doi:10.48550/arXiv.2412.20802). In addition, the package provides wrapper functions for 'softImpute' (Mazumder, Hastie, and Tibshirani, 2010, https://www.jmlr.org/papers/v11/mazumder10a.html; Hastie, Mazumder, Lee, Zadeh, 2015, https://www.jmlr.org/papers/v16/hastie15a.html) for easy tuning of the regularization parameter, as well as benchmark methods such as median imputation and mode imputation.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RMCLab", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("aalfons/RMCLab")

Development version from aalfons/RMCLab. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rmclab

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RMCLab

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RMCLab

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.5 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 319 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14includes a package overview page
Examples that run: 100%13 run in a plain check
Exported functions with examples: 100%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 43%

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #23,537 · ~5/day · ~158/mo

Releases R versions

Daily download trend is not available in this view yet.

21130 days

55290 days

1.9K1 year

Compare downloads with other packages →

Also on327 r2u3 autocran

How downloads are counted

Repository

aalfons/rmclab ↗Account: aalfons

0Stars

0Forks

3Open issues

0Open PRs

0Releases

License file reads as GPL-3.0 · Last activity 2025-07-25

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/aalfons/rmclab on 2026-10-21.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing RMCLab adds 3 packages (3 with compiled code, 3.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, softImpute 252 KB.

Depends (1)

R >= 3.5.0

Imports (2)

Rcpp softImpute

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Andreas Alfons

Author, Maintainer since 0.1.0 (2025)

Aurore Archimbaud

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
record
2025-07-28 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-07-28
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.4 KB / 1 file
Download size: 38 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMCLab")

Format

Alfons, A., & Archimbaud, A. (2025). RMCLab: Lab for Matrix Completion and Imputation of Discrete Rating Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RMCLab

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RMCLab version 0.1.0 [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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