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Rankcluster
View on CRAN: Click
here
Download and install Rankcluster package within the R console
Install from CRAN:
install.packages("Rankcluster")
Install from Github:
library("remotes")
install_github("cran/Rankcluster") Install by package version:
library("remotes")
install_version("Rankcluster", "0.98.0") Attach the package and use:
library("Rankcluster")
Maintained by
Quentin Grimonprez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-28
Latest Update: 2022-11-12
Description:
Implementation of a model-based clustering algorithm for
ranking data (C. Biernacki, J. Jacques (2013) ).
Multivariate rankings as well as partial rankings are taken
into account. This algorithm is based on an extension of the Insertion
Sorting Rank (ISR) model for ranking data, which is a meaningful and
effective model parametrized by a position parameter (the modal ranking,
quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity
of the rank population is modelled by a mixture of ISR, whereas conditional
independence assumption is considered for multivariate rankings.
How to cite:
Quentin Grimonprez (2013). Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data. R package version 0.98.0, https://cran.r-project.org/web/packages/Rankcluster. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:21), 0.89 (2013-08-28 19:16), 0.90.1 (2013-08-30 19:45), 0.90.2 (2013-09-05 09:55), 0.90.3 (2013-09-12 09:19), 0.91.5 (2013-12-05 09:26), 0.91.6 (2013-12-19 12:24), 0.91 (2013-11-03 18:23), 0.92.9 (2014-07-25 16:31), 0.92 (2014-02-12 11:41), 0.93.1 (2016-01-12 22:46), 0.94.1 (2019-08-28 01:40), 0.94.2 (2020-02-20 11:30), 0.94.4 (2020-10-06 17:20), 0.94.5 (2021-01-27 09:40), 0.94 (2016-07-29 00:55)
Other packages that cited Rankcluster R package
View Rankcluster citation profile
Other R packages that Rankcluster depends,
imports, suggests or enhances
Complete documentation for Rankcluster
Functions, R codes and Examples using
the Rankcluster R package
Some associated functions: APA . Output-class . Rankclust-class . Rankcluster-package . big4 . convertRank . criteria . distCayley . distHamming . distKendall . distSpearman . eurovision . frequence . khi2 . kullback . probability . quiz . rankclust . show-methods . simulISR . sports . sub-Rankclust-method . summary-Rankclust-method . unfrequence . words .
Some associated R codes: ISRdistribution.R . Rankcluster-package.R . checkFunctions.R . conversion.R . criteria.R . data.R . mixtureSEM.R . rankDistance.R . rankManipulation.R . rankclust.R . resultClass.R . test.R . zzz.R . Full Rankcluster package functions and examples
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