---
title: "ghyp (R package): papers citing this CRAN package"
description: "6 papers in the tracked journals link to ghyp (R package) in their Crossref records, the first in 2018; most of them (2) in 2018."
url: https://scholar4ai.com/code/cran-ghyp
markdown_url: https://scholar4ai.com/code/cran-ghyp.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to ghyp (R package) in their Crossref records, the first in 2018; most of them (2) in 2018. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# ghyp (R package): papers linking to it

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

- CRAN
- https://CRAN.R-project.org/package=ghyp

All repositories: https://scholar4ai.com/code.md

## Key findings

- 6 papers in the tracked journals link to ghyp (R package) in their Crossref records, the first in 2018; most of them (2) in 2018.
- By category: Operations Research (2), Statistics (2) and Economics (1); the journals with the most are Methodology And Computing In Applied Probability (2), Computational Statistics & Data Analysis (1) and Computational Statistics (1).

## By year

*Papers linking to ghyp (R package) by publication year*

| Year | Papers |
|---|---:|
| 2018 | 2 |
| 2019 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to ghyp (R package) most*

| Journal | Papers |
|---|---:|
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 2 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

*Papers linking to ghyp (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-03-27 | [Objective priors for the number of degrees of freedom of a multivariate t distribution and the t -copula](https://doi.org/10.1016/j.csda.2018.03.010) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Cristiano Villa, Francisco J. Rubio | 23 | cites it |
| 2024-03-29 | [A comparative study of methods for estimating model-agnostic Shapley value explanations](https://doi.org/10.1007/s10618-024-01016-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Lars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum et al. | 23 | cites it |
| 2019-12-23 | [ECM Algorithm for Auto-Regressive Multivariate Skewed Variance Gamma Model with Unbounded Density](https://doi.org/10.1007/s11009-019-09762-0) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Thanakorn Nitithumbundit, Jennifer Chan | 15 | cites it |
| 2018-03-17 | [Risk: An R Package for Financial Risk Measures](https://doi.org/10.1007/s10614-018-9806-9) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Stephen Chan, Saralees Nadarajah | 8 | cites it |
| 2023-06-01 | [On Familywise Error Rate Cutoffs under Pairwise Exchangeability](https://doi.org/10.1007/s11009-023-10018-1) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Thomas Fung, Eugene B. Seneta | 1 | cites it |
| 2026-06-15 | [Extending GLASSO to non-Gaussian settings: sparse concentration estimation via EM algorithm](https://doi.org/10.1007/s00180-026-01764-0) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Gyorgy H. Terdik, Abdaljbbar B. A. Dawod | 0 | 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). ghyp (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ghyp

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).