To cite the 'CoClust' package in publications use:
Di Lascio F.M.L. and Giannerini S. (2017) CoClust: copula based cluster analysis. R package version 0.3-2, <https://CRAN.R-project.org/package=CoClust>.
Di Lascio F.M.L. and Giannerini S. (2012). A Copula-Based Algorithm for Discovering Patterns of Dependent Observations, Journal of Classification, Volume 29, Number 1, 50-75.
Di Lascio, F.M.L., and Giannerini, S. (2016). Clustering dependent observations with copula functions. Statistical Papers, p.1-17. DOI 10.1007/s00362-016-0822-3.
Di Lascio, F.M.L., Disegna, M. (2017). A copula-based clustering algorithm to analyse EU country diets. Knowledge-Based Systems, 132, p.72-84.
Di Lascio, F.M.L., Durante, F. and Pappada', R. (2017). Copula-based clustering methods, Copulas and Dependence Models with Applications, p.49-67. Eds Ubeda-Flores, M., de Amo, E., Durante, F. and Fernandez Sanchez, J., Springer international Publishing. ISBN: 978-3-319-64220-8.
Di Lascio, F.M.L. (201x). CoClust: An R Package for Copula-based Cluster Analysis. To be submitted.
Corresponding BibTeX entries:
@Manual{CoClust-package, title = {CoClust: copula based cluster analysis}, author = {F. Marta L. {Di Lascio} and Simone Giannerini}, year = {2017}, note = {R package version 0.3-2}, url = {https://CRAN.R-project.org/package=CoClust}, }
@Article{CoClust-article, author = {F. Marta L. {Di Lascio} and Simone Giannerini}, title = {A Copula-Based Algorithm for Discovering Patterns of Dependent Observations}, journal = {Journal of Classification}, publisher = {Springer New York}, issn = {0176-4268}, keyword = {Mathematics and Statistics}, pages = {50-75}, volume = {29}, issue = {1}, url = {http://dx.doi.org/10.1007/s00357-012-9099-y}, note = {10.1007/s00357-012-9099-y}, year = {2012}, }
@Article{CoClust-article, author = {F. Marta L. {Di Lascio} and Simone Giannerini}, title = {Clustering dependent observations with copula functions}, journal = {Statistical Papers}, publisher = {Springer Berlin Heidelberg}, issn = {1613-9798}, keyword = {Mathematics and Statistics}, pages = {1-17}, url = {https://doi.org/10.1007/s00362-016-0822-3}, note = {10.1007/s00362-016-0822-3}, year = {2016}, }
@Article{CoClust-article, author = {F. Marta L. {Di Lascio} and Marta Disegna}, title = {A copula-based clustering algorithm to analyse EU country diets}, journal = {Knowledge-Based Systems}, publisher = {Elsevier}, issn = {0950-7051}, keyword = {Mathematics and Statistics}, pages = {72-84}, volume = {132}, url = {https://doi.org/10.1016/j.knosys.2017.06.004}, note = {10.1016/j.knosys.2017.06.004}, year = {2017}, }
@InBook{CoClust-article, author = {F. Marta L. {Di Lascio} and Fabrizio Durante and Roberta Pappada'}, title = {Copula-based clustering methods}, chapter = {4}, booktitle = {Copulas and Dependence models with Applications}, editor = {Eds Ubeda-Flores and {M.} and {de Amo} and {E.} and {Durante} and {F.} and Fernandez Sanchez and {J.}}, publisher = {Springer international Publishing}, isbn = {978-3-319-64220-8}, keyword = {Mathematics and Statistics}, pages = {49-67}, url = {http://www.springer.com/la/book/9783319642208}, year = {2017}, }
@InBook{CoClust-article, author = {F. Marta L. {Di Lascio}}, title = {CoClust: An R Package for Copula-based Cluster Analysis}, chapter = {x}, publisher = {x}, year = {201x}, }