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smacof

2.1-7Package record

Multidimensional Scaling

16packages dependsuggested by 9
85.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.

Changes in 2.1-7
  • candisc dependency removed, plot.msbi() modified accordingly.

From inst/NEWS.Rd in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-27
  • WARNING12 OK, 1 WARNING2026-06-14
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1-7
READMENoVignettesYes · 3 · dynamicNEWSYes · mentions 2.1-7Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
60
Examples that run
100%59 run in a plain check
Exported functions with examples
96%
Documented parameters
80%
Return-value docs
92%
Help pages citing references
85%

Downloads

85.2K
CRAN downloads in the past year
Rank #1,375 · ~234/day · ~7.1K/mo
Daily download trend is not available in this view yet.
7.3K30 days
20.5K90 days
85.2K1 year
Compare downloads with other packages →
Also on719 r2u4 autocran3.7K conda_forge181 c2d4u

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing smacof adds 103 packages (56 with compiled code, 79 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (4)
Imports (13)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
16direct
11indirect
Depends 2 · Imports 14
Suggested by 9
Show all 25 packagesHide all 25 packages
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (4)
Author, Maintainer since 1.5-0 (2014)
Author · added in 1.5-0
Contributor · added in 1.5-0

Previously maintained by Jan de Leeuw (0.9-0 to 1.2-3).

Releases (39)

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
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.3Latest
    record
    2013-11-16 · current release · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
Show 47 earlier eventsHide 47 earlier events

Package metadata

First published
2008-02-06
Total releases
39 / 18 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
129 KB / 41 files
Download size
1.0 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("smacof")

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

It points to 10.18637/jss.v031.i03, 10.18637/jss.v102.i10.

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 smacof version 2.1-7 [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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