Rankcluster
Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) doi:10.1016/j.csda.2012.08.008 ).
Science Score: 28.0%
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✓CITATION.cff file
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○codemeta.json file
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Low similarity (14.8%) to scientific vocabulary
Keywords
Repository
Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) doi:10.1016/j.csda.2012.08.008 ).
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 4
- Releases: 0
Topics
Metadata Files
README.md
Rankcluster
The code was originally on an R-forge repository.
This package proposes a model-based clustering algorithm for ranking data. 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.
Installation
From github:
r
library(devtools)
install_github("modal-inria/Rankcluster", build_vignettes = TRUE)
From CRAN:
r
install.packages("Rankcluster", repos = "https://cran.rstudio.com")
Vignettes
Once the package is installed, a vignette showing an example and one describing the data format are available using the R commands:
r
RShowDoc("Rankcluster", package = "Rankcluster")
RShowDoc("dataFormat", package = "Rankcluster")
Credits
Rankcluster is developed by Quentin Grimonprez, Julien Jacques and Christophe Biernacki.
Copyright Inria - Université de Lille
Licence
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
References
- J. Jacques and C. Biernacki (2012), Model-based clustering for multivariate partial ranking data, Inria Research Report n 8113. link
- C. Biernacki and J. Jacques (2013), A generative model for rank data based on sorting algorithm, Computational Statistics and Data Analysis, 58, 162-176. link
- J. Jacques, Q. Grimonprez and C. Biernacki (2014), Rankcluster: An R Package for Clustering Multivariate Partial Rankings, The R Journal 6:1, pages 101-110. link
Owner
- Name: Modal team - Inria Lille-Nord Europe
- Login: modal-inria
- Kind: organization
- Location: France
- Website: https://team.inria.fr/modal/
- Repositories: 6
- Profile: https://github.com/modal-inria
Citation (CITATION.bib)
@article{RJ-2014-010,
author = {Julien Jacques and Quentin Grimonprez and Christophe
Biernacki},
title = {{Rankcluster: An R Package for Clustering Multivariate
Partial Rankings}},
year = {2014},
journal = {{The R Journal}},
doi = {10.32614/RJ-2014-010},
url = {https://doi.org/10.32614/RJ-2014-010},
pages = {101--110},
volume = {6},
number = {1}
}
GitHub Events
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Last Year
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Quentin Grimonprez | q****z@d****m | 93 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 6
- Total pull requests: 8
- Average time to close issues: about 22 hours
- Average time to close pull requests: 2 months
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.67
- Average comments per pull request: 0.0
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
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- Bot issues: 0
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Top Authors
Issue Authors
- Quentin62 (6)
Pull Request Authors
- Quentin62 (8)
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Packages
- Total packages: 1
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Total downloads:
- cran 387 last-month
- Total dependent packages: 2
- Total dependent repositories: 0
- Total versions: 16
- Total maintainers: 1
cran.r-project.org: Rankcluster
Model-Based Clustering for Multivariate Partial Ranking Data
- Documentation: http://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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Latest release: 0.98.0
published over 3 years ago
Rankings
Maintainers (1)
Dependencies
- R >= 2.10 depends
- Rcpp * imports
- methods * imports
- knitr * suggests
- rmarkdown * suggests
- testthat * suggests
- actions/checkout v3 composite
- actions/upload-artifact main composite
- r-lib/actions/check-r-package v1 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- r-lib/actions/setup-r-dependencies v1 composite
- r-lib/actions/setup-tinytex v1 composite