pgmm (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to pgmm (R package) (https://CRAN.R-project.org/package=pgmm), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to pgmm (R package) in their Crossref records, the first in 2019; most of them (2) in 2019.
By category: Statistics (3); the journals with the most are Statistics and Computing (2) and Computational Statistics & Data Analysis (1).

By year#

20192024

Papers linking to pgmm (R package) by publication year
Year	Papers
2019	2
2024	1

Journals#

Journals whose papers link to pgmm (R package) most
Journal	Papers
Statistics and Computing	2
Computational Statistics & Data Analysis	1

Papers linking to pgmm (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-06-19	Model-based clustering of censored data via mixtures of factor analyzers	Computational Statistics & Data Analysis	Wan‐Lun Wang, Luis M. Castro, Victor Hugo Lachos et al.	23	cites it
2024-04-01	Parsimonious ultrametric Gaussian mixture models	Statistics and Computing	Carlo Cavicchia, Maurizio Vichi, Giorgia Zaccaria	11	cites it
2019-08-27	Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components	Statistics and Computing	Panagiotis Papastamoulis	9	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). pgmm (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-pgmm

@misc{scholar4ai-code-cran-pgmm,
  author = {{Scholar4AI}},
  title = {pgmm (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-pgmm}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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