Software repository
Paper review
Download paper
Software archive
Review
Editor: @skanwal (all papers)
Reviewers: @adriancorrendo (all reviews), @larryshamalama (all reviews)
Authors
Leonardo Egidi (0000-0003-3211-905X), Roberta Pappada (0000-0002-4852-0561), Francesco Pauli (0000-0002-7982-3514), Nicola Torelli (0000-0001-9523-5336)
Citation
Egidi et al., (2024). pivmet: an R package proposing pivotal methods for consensus clustering and mixture modelling. Journal of Open Source Software, 9(98), 6461, https://doi.org/10.21105/joss.06461
@article{Egidi2024,
doi = {10.21105/joss.06461},
url = {https://doi.org/10.21105/joss.06461},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {98},
pages = {6461},
author = {Leonardo Egidi and Roberta Pappada and Francesco Pauli and Nicola Torelli},
title = {pivmet: an R package proposing pivotal methods for consensus clustering and mixture modelling},
journal = {Journal of Open Source Software}
}
Tags
statistics consensus clustering mixture models
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
