R Observatory: Metrics for cops version 1.12-1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cops

1.12-1

Cluster Optimized Proximity Scaling

0packages depend

3.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Thomas RuschFirst published 2019-11-015 releasesCRAN page ↗

Multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration (Rusch, Mair & Hornik, 2021, doi:10.1080/10618600.2020.1869027). They achieve this by transforming proximities/distances with explicit power functions and penalizing the fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch, Hornik & Mair, 2018, doi:10.1080/10618600.2017.1349664). There are two variants: One for finding the configuration directly (COPS-C) with given explicit power transformations and implicit ratio, interval and non-metric optimal scaling transformations (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal hyperparameters for the explicit transformations (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different MDS models (most of the functionality in smacofx) in the COPS framework. The package further contains a function for pattern search optimization, the ``Adaptive Luus-Jaakola Algorithm'' (Rusch, Mair & Hornik, 2021,doi:10.1080/10618600.2020.1869027) and a functions to calculate the phi-distances for count data or histograms.

Install

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

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

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

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-cops

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-cops

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-cops

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

15

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 4 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 90%
Documented parameters: 87%
Return-value docs: 100%
References docs: 0%

Downloads

3.9K

CRAN downloads in the past year

Rank #11,513 · ~11/day · ~325/mo

Releases R versions

Daily download trend is not available in this view yet.

20830 days

86190 days

3.9K1 year

Compare downloads with other packages →

Also on121 r2u1 autocran42 c2d4u

Repository

Repository ↗ projects/stops

Repository practices

Upstream repositoryBeta

Repository r-forge.r-project.org/projects/stops is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.5.0cordillera smacofx

Imports (13)

smacof analogue cmaes crs dfoptim GenSA minqa NlcOptim nloptr pso rgenoud Rsolnp subplex

LinkingTo (0)

none

Suggests (2)

R.rsp rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Thomas Rusch

Author, Maintainer

Authors (2)

Thomas Rusch

Author, Maintainer

Patrick Mair

Author

Contributors (1)

Kurt Hornik

Contributor · added in 1.11-3

Listed in earlier versions (1)

Jan de Leeuw

no longer listed · 1.0-2 to 1.3-1

Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.12-1Latest
2024-09-22 · current release · diff ↗
1.11-3
2024-06-27 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.3-1
2023-01-19 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.2-0
2021-03-23 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0-2
2019-11-01
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-11-01
Total releases: 5 / 7 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 13 KB / 2 files
Download size: 464 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cops")

Format

Rusch, T., Hornik, K., & Mair, P. (2024). cops: Cluster Optimized Proximity Scaling (Version 1.12-1) [Computer software]. https://doi.org/10.32614/CRAN.package.cops

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 cops version 1.12-1 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-08, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →