bayesm (R package): papers linking to it

CRAN · CRAN.R-project.org/package=bayesm

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to bayesm (R package) (https://CRAN.R-project.org/package=bayesm), 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#

5 papers in the tracked journals link to bayesm (R package) in their Crossref records, the first in 2018; most of them (2) in 2021.
By category: Health Economics and Policy (1), Management (1) and Marketing (1); the journals with the most are PharmacoEconomics (1), Journal of Business Economics (1) and Journal of Marketing Analytics (1).

By year#

20182023

Papers linking to bayesm (R package) by publication year
Year	Papers
2018	1
2021	2
2022	1
2023	1

Journals#

Journals whose papers link to bayesm (R package) most
Journal	Papers
PharmacoEconomics	1
Journal of Business Economics	1
Journal of Marketing Analytics	1
Information Systems and e-Business Management	1
Statistical Papers	1

Papers linking to bayesm (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-05-08	Understanding augmented reality adoption trade-offs in production environments from the perspective of future employees: A choice-based conjoint study	Information Systems and e-Business Management	Julian Schuir, Frank Teuteberg	26	cites it
2018-07-20	Severity-Stratified Discrete Choice Experiment Designs for Health State Evaluations	PharmacoEconomics	Sesil Lim, Marcel F. Jonker, Mark Oppe et al.	19	cites it
2023-06-26	Multimodal preference heterogeneity in choice-based conjoint analysis: a simulation study	Journal of Business Economics	Nils Goeken, Peter Kurz, Winfried J. Steiner	10	cites it
2021-06-10	Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming	Journal of Marketing Analytics	John V. Colias, Stella Park, Elizabeth Horn	9	cites it
2022-08-06	Seemingly unrelated clusterwise linear regression for contaminated data	Statistical Papers	Gabriele Perrone, Gabriele Soffritti	6	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). bayesm (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-bayesm

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

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