-
Notifications
You must be signed in to change notification settings - Fork 22
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #5493 from openjournals/joss.06461
Merging automatically
- Loading branch information
Showing
6 changed files
with
1,014 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,317 @@ | ||
<?xml version="1.0" encoding="UTF-8"?> | ||
<doi_batch xmlns="http://www.crossref.org/schema/5.3.1" | ||
xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" | ||
xmlns:rel="http://www.crossref.org/relations.xsd" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
version="5.3.1" | ||
xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schemas/crossref5.3.1.xsd"> | ||
<head> | ||
<doi_batch_id>20240612142907-d96a058059c9ba2a38fa7086678cf9ef16eddada</doi_batch_id> | ||
<timestamp>20240612142907</timestamp> | ||
<depositor> | ||
<depositor_name>JOSS Admin</depositor_name> | ||
<email_address>[email protected]</email_address> | ||
</depositor> | ||
<registrant>The Open Journal</registrant> | ||
</head> | ||
<body> | ||
<journal> | ||
<journal_metadata> | ||
<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
<doi_data> | ||
<doi>10.21105/joss</doi> | ||
<resource>https://joss.theoj.org</resource> | ||
</doi_data> | ||
</journal_metadata> | ||
<journal_issue> | ||
<publication_date media_type="online"> | ||
<month>06</month> | ||
<year>2024</year> | ||
</publication_date> | ||
<journal_volume> | ||
<volume>9</volume> | ||
</journal_volume> | ||
<issue>98</issue> | ||
</journal_issue> | ||
<journal_article publication_type="full_text"> | ||
<titles> | ||
<title>pivmet: an R package proposing pivotal methods for | ||
consensus clustering and mixture modelling</title> | ||
</titles> | ||
<contributors> | ||
<person_name sequence="first" contributor_role="author"> | ||
<given_name>Leonardo</given_name> | ||
<surname>Egidi</surname> | ||
<ORCID>https://orcid.org/0000-0003-3211-905X</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Roberta</given_name> | ||
<surname>Pappada</surname> | ||
<ORCID>https://orcid.org/0000-0002-4852-0561</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Francesco</given_name> | ||
<surname>Pauli</surname> | ||
<ORCID>https://orcid.org/0000-0002-7982-3514</ORCID> | ||
</person_name> | ||
<person_name sequence="additional" | ||
contributor_role="author"> | ||
<given_name>Nicola</given_name> | ||
<surname>Torelli</surname> | ||
<ORCID>https://orcid.org/0000-0001-9523-5336</ORCID> | ||
</person_name> | ||
</contributors> | ||
<publication_date> | ||
<month>06</month> | ||
<day>12</day> | ||
<year>2024</year> | ||
</publication_date> | ||
<pages> | ||
<first_page>6461</first_page> | ||
</pages> | ||
<publisher_item> | ||
<identifier id_type="doi">10.21105/joss.06461</identifier> | ||
</publisher_item> | ||
<ai:program name="AccessIndicators"> | ||
<ai:license_ref applies_to="vor">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="am">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
<ai:license_ref applies_to="tdm">http://creativecommons.org/licenses/by/4.0/</ai:license_ref> | ||
</ai:program> | ||
<rel:program> | ||
<rel:related_item> | ||
<rel:description>Software archive</rel:description> | ||
<rel:inter_work_relation relationship-type="references" identifier-type="doi">10.5281/zenodo.11243277</rel:inter_work_relation> | ||
</rel:related_item> | ||
<rel:related_item> | ||
<rel:description>GitHub review issue</rel:description> | ||
<rel:inter_work_relation relationship-type="hasReview" identifier-type="uri">https://github.com/openjournals/joss-reviews/issues/6461</rel:inter_work_relation> | ||
</rel:related_item> | ||
</rel:program> | ||
<doi_data> | ||
<doi>10.21105/joss.06461</doi> | ||
<resource>https://joss.theoj.org/papers/10.21105/joss.06461</resource> | ||
<collection property="text-mining"> | ||
<item> | ||
<resource mime_type="application/pdf">https://joss.theoj.org/papers/10.21105/joss.06461.pdf</resource> | ||
</item> | ||
</collection> | ||
</doi_data> | ||
<citation_list> | ||
<citation key="egidi2018relabelling"> | ||
<article_title>Relabelling in Bayesian mixture models by | ||
pivotal units</article_title> | ||
<author>Egidi</author> | ||
<journal_title>Statistics and Computing</journal_title> | ||
<issue>4</issue> | ||
<volume>28</volume> | ||
<doi>10.1007/s11222-017-9774-2</doi> | ||
<cYear>2018</cYear> | ||
<unstructured_citation>Egidi, L., Pappadà, R., Pauli, F., | ||
& Torelli, N. (2018). Relabelling in Bayesian mixture models by | ||
pivotal units. Statistics and Computing, 28(4), 957–969. | ||
https://doi.org/10.1007/s11222-017-9774-2</unstructured_citation> | ||
</citation> | ||
<citation key="JMLR02"> | ||
<article_title>Cluster ensembles - a knowledge reuse | ||
framework for combining multiple partitions</article_title> | ||
<author>Strehl</author> | ||
<journal_title>Journal on Machine Learning | ||
Research</journal_title> | ||
<volume>3</volume> | ||
<doi>10.1162/153244303321897735</doi> | ||
<cYear>2002</cYear> | ||
<unstructured_citation>Strehl, A., & Ghosh, J. (2002). | ||
Cluster ensembles - a knowledge reuse framework for combining multiple | ||
partitions. Journal on Machine Learning Research, 3, 583–617. | ||
https://doi.org/10.1162/153244303321897735</unstructured_citation> | ||
</citation> | ||
<citation key="stephens2000dealing"> | ||
<article_title>Dealing with label switching in mixture | ||
models</article_title> | ||
<author>Stephens</author> | ||
<journal_title>Journal of the Royal Statistical Society: | ||
Series B</journal_title> | ||
<issue>4</issue> | ||
<volume>62</volume> | ||
<doi>10.1111/1467-9868.00265</doi> | ||
<cYear>2000</cYear> | ||
<unstructured_citation>Stephens, M. (2000). Dealing with | ||
label switching in mixture models. Journal of the Royal Statistical | ||
Society: Series B, 62(4), 795–809. | ||
https://doi.org/10.1111/1467-9868.00265</unstructured_citation> | ||
</citation> | ||
<citation key="fruhwirth2001markov"> | ||
<article_title>Markov Chain Monte Carlo estimation of | ||
classical and dynamic switching and mixture models</article_title> | ||
<author>Frühwirth-Schnatter</author> | ||
<journal_title>Journal of the American Statistical | ||
Association</journal_title> | ||
<issue>453</issue> | ||
<volume>96</volume> | ||
<doi>10.1198/016214501750333063</doi> | ||
<cYear>2001</cYear> | ||
<unstructured_citation>Frühwirth-Schnatter, S. (2001). | ||
Markov Chain Monte Carlo estimation of classical and dynamic switching | ||
and mixture models. Journal of the American Statistical Association, | ||
96(453), 194–209. | ||
https://doi.org/10.1198/016214501750333063</unstructured_citation> | ||
</citation> | ||
<citation key="papastamoulis2016label"> | ||
<article_title>label.switching: An R package for dealing | ||
with the label switching problem in MCMC outputs</article_title> | ||
<author>Papastamoulis</author> | ||
<journal_title>Journal of Statistical Software, Code | ||
Snippets</journal_title> | ||
<issue>1</issue> | ||
<volume>69</volume> | ||
<doi>10.18637/jss.v069.c01</doi> | ||
<cYear>2016</cYear> | ||
<unstructured_citation>Papastamoulis, P. (2016). | ||
label.switching: An R package for dealing with the label switching | ||
problem in MCMC outputs. Journal of Statistical Software, Code Snippets, | ||
69(1), 1–24. | ||
https://doi.org/10.18637/jss.v069.c01</unstructured_citation> | ||
</citation> | ||
<citation key="bayesmix"> | ||
<volume_title>Bayesmix: Bayesian mixture models with | ||
JAGS</volume_title> | ||
<author>Gruen</author> | ||
<cYear>2015</cYear> | ||
<unstructured_citation>Gruen, B. (2015). Bayesmix: Bayesian | ||
mixture models with JAGS. | ||
https://CRAN.R-project.org/package=bayesmix</unstructured_citation> | ||
</citation> | ||
<citation key="titterington1985statistical"> | ||
<volume_title>Statistical analysis of finite mixture | ||
distributions</volume_title> | ||
<author>Titterington</author> | ||
<doi>10.2307/2531224</doi> | ||
<cYear>1985</cYear> | ||
<unstructured_citation>Titterington, D. M., Smith, A. F., | ||
& Makov, U. E. (1985). Statistical analysis of finite mixture | ||
distributions. Wiley, New York. | ||
https://doi.org/10.2307/2531224</unstructured_citation> | ||
</citation> | ||
<citation key="richardson1997bayesian"> | ||
<article_title>On Bayesian analysis of mixtures with an | ||
unknown number of components (with discussion)</article_title> | ||
<author>Richardson</author> | ||
<journal_title>Journal of the Royal Statistical Society: | ||
series B</journal_title> | ||
<issue>4</issue> | ||
<volume>59</volume> | ||
<doi>10.1111/1467-9868.00095</doi> | ||
<cYear>1997</cYear> | ||
<unstructured_citation>Richardson, S., & Green, P. J. | ||
(1997). On Bayesian analysis of mixtures with an unknown number of | ||
components (with discussion). Journal of the Royal Statistical Society: | ||
Series B, 59(4), 731–792. | ||
https://doi.org/10.1111/1467-9868.00095</unstructured_citation> | ||
</citation> | ||
<citation key="pivmet"> | ||
<volume_title>Pivmet: Pivotal Methods for Bayesian | ||
Relabelling and k-means Clustering</volume_title> | ||
<author>Egidi</author> | ||
<cYear>2024</cYear> | ||
<unstructured_citation>Egidi, L., Pappadà, R., Pauli, F., | ||
& Torelli, N. (2024). Pivmet: Pivotal Methods for Bayesian | ||
Relabelling and k-means Clustering. | ||
https://CRAN.R-project.org/package=pivmet</unstructured_citation> | ||
</citation> | ||
<citation key="rstan"> | ||
<article_title>RStan: The R interface to | ||
Stan</article_title> | ||
<author>Stan Development Team</author> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Stan Development Team. (2022). RStan: | ||
The R interface to Stan. http://mc-stan.org/</unstructured_citation> | ||
</citation> | ||
<citation key="rjags"> | ||
<volume_title>Rjags: Bayesian graphical models using | ||
MCMC</volume_title> | ||
<author>Plummer</author> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Plummer, M. (2022). Rjags: Bayesian | ||
graphical models using MCMC. | ||
https://CRAN.R-project.org/package=rjags</unstructured_citation> | ||
</citation> | ||
<citation key="neal2000markov"> | ||
<article_title>Markov Chain sampling methods for Dirichlet | ||
process mixture models</article_title> | ||
<author>Neal</author> | ||
<journal_title>Journal of computational and graphical | ||
statistics</journal_title> | ||
<issue>2</issue> | ||
<volume>9</volume> | ||
<doi>10.1080/10618600.2000.10474879</doi> | ||
<cYear>2000</cYear> | ||
<unstructured_citation>Neal, R. M. (2000). Markov Chain | ||
sampling methods for Dirichlet process mixture models. Journal of | ||
Computational and Graphical Statistics, 9(2), 249–265. | ||
https://doi.org/10.1080/10618600.2000.10474879</unstructured_citation> | ||
</citation> | ||
<citation key="escobar1995bayesian"> | ||
<article_title>Bayesian density estimation and inference | ||
using mixtures</article_title> | ||
<author>Escobar</author> | ||
<journal_title>Journal of the American Statistical | ||
Association</journal_title> | ||
<issue>430</issue> | ||
<volume>90</volume> | ||
<doi>10.1080/01621459.1995.10476550</doi> | ||
<cYear>1995</cYear> | ||
<unstructured_citation>Escobar, M. D., & West, M. | ||
(1995). Bayesian density estimation and inference using mixtures. | ||
Journal of the American Statistical Association, 90(430), 577–588. | ||
https://doi.org/10.1080/01621459.1995.10476550</unstructured_citation> | ||
</citation> | ||
<citation key="ferguson1973bayesian"> | ||
<article_title>A Bayesian analysis of some nonparametric | ||
problems</article_title> | ||
<author>Ferguson</author> | ||
<journal_title>The Annals of Statistics</journal_title> | ||
<cYear>1973</cYear> | ||
<unstructured_citation>Ferguson, T. S. (1973). A Bayesian | ||
analysis of some nonparametric problems. The Annals of Statistics, | ||
209–230.</unstructured_citation> | ||
</citation> | ||
<citation key="fruhwirth2019here"> | ||
<article_title>From here to infinity: Sparse finite versus | ||
Dirichlet process mixtures in model-based clustering</article_title> | ||
<author>Frühwirth-Schnatter</author> | ||
<journal_title>Advances in data analysis and | ||
classification</journal_title> | ||
<issue>1</issue> | ||
<volume>13</volume> | ||
<doi>10.1007/s11634-018-0329-y</doi> | ||
<cYear>2019</cYear> | ||
<unstructured_citation>Frühwirth-Schnatter, S., & | ||
Malsiner-Walli, G. (2019). From here to infinity: Sparse finite versus | ||
Dirichlet process mixtures in model-based clustering. Advances in Data | ||
Analysis and Classification, 13(1), 33–64. | ||
https://doi.org/10.1007/s11634-018-0329-y</unstructured_citation> | ||
</citation> | ||
<citation key="malsiner2016model"> | ||
<article_title>Model-based clustering based on sparse finite | ||
Gaussian mixtures</article_title> | ||
<author>Malsiner-Walli</author> | ||
<journal_title>Statistics and computing</journal_title> | ||
<issue>1-2</issue> | ||
<volume>26</volume> | ||
<doi>10.1007/s11222-014-9500-2</doi> | ||
<cYear>2016</cYear> | ||
<unstructured_citation>Malsiner-Walli, G., | ||
Frühwirth-Schnatter, S., & Grün, B. (2016). Model-based clustering | ||
based on sparse finite Gaussian mixtures. Statistics and Computing, | ||
26(1-2), 303–324. | ||
https://doi.org/10.1007/s11222-014-9500-2</unstructured_citation> | ||
</citation> | ||
</citation_list> | ||
</journal_article> | ||
</journal> | ||
</body> | ||
</doi_batch> |
Binary file not shown.
Oops, something went wrong.