Show code 
library("grateful")

citations <- cite_packages(output = "paragraph",
                           out.dir = ".",
                           cite.tidyverse = TRUE)

citations

We used R v. 4.4.2 (R Core Team 2024) and the following R packages: ggalluvial v. 0.12.5 (Brunson 2020; Brunson and Read 2023), ggbreak v. 0.1.6 (Shuangbin Xu et al. 2021), ggforce v. 0.5.0 (Pedersen 2025a), ggrepel v. 0.9.6 (Slowikowski 2024), glue v. 1.8.0 (Hester and Bryan 2024), here v. 1.0.2 (Müller 2025), irr v. 0.84.1 (Gamer, Lemon, and <puspendra.pusp22@gmail.com> 2019), janitor v. 2.2.1 (Firke 2024), kableExtra v. 1.4.0 (Zhu 2024), knitr v. 1.50 (Xie 2014, 2015, 2025), patchwork v. 1.3.2 (Pedersen 2025b), plotly v. 4.11.0 (Sievert 2020), renv v. 1.0.0 (Ushey and Wickham 2023), rmarkdown v. 2.30 (Xie, Allaire, and Grolemund 2018; Xie, Dervieux, and Riederer 2020; Allaire et al. 2025), scales v. 1.4.0 (Wickham, Pedersen, and Seidel 2025), stringi v. 1.8.7 (Gagolewski 2022), tidyverse v. 2.0.0 (Wickham et al. 2019), viridis v. 0.6.5 (Garnier et al. 2024).

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Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone, “rmarkdown: Dynamic documents for r,” (2025).
Brunson, Jason Cory, “ggalluvial: Layered grammar for alluvial plots,” Journal of Open Source Software, 5 (2020), 2017.
Brunson, Jason Cory, and Quentin D. Read, “ggalluvial: Alluvial plots in ‘ggplot2’,” 2023.
Eger, Steffen, Yong Cao, Jennifer D’Souza, Andreas Geiger, Christian Greisinger, Stephanie Gross, Yufang Hou, Brigitte Krenn, Anne Lauscher, Yizhi Li, Chenghua Lin, Nafise Sadat Moosavi, Wei Zhao, and Tristan Miller, “Transforming science with large language models: A survey on AI-assisted scientific discovery, experimentation, content generation, and evaluation,” arXiv preprint arXiv:2505.05151, (2025).
Firke, Sam, “janitor: Simple tools for examining and cleaning dirty data,” (2024).
Gagolewski, Marek, “stringi: Fast and portable character string processing in R,” Journal of Statistical Software, 103 (2022), 1–59.
Gamer, Matthias, Jim Lemon, and Ian Fellows Puspendra Singh <puspendra.pusp22@gmail.com>, “irr: Various coefficients of interrater reliability and agreement,” (2019).
Garnier, Simon, Ross, Noam, Rudis, Robert, Camargo, Antônio Pedro, Sciaini, Marco, Scherer, and Cédric, “viridis(Lite) - colorblind-friendly color maps for r,” (2024).
Hester, Jim, and Jennifer Bryan, “glue: Interpreted string literals,” (2024).
Luo, Ziming, Zonglin Yang, Zexin Xu, Wei Yang, and Xinya Du, “LLM4SR: A survey on large language models for scientific research,” arXiv preprint arXiv:2501.04306, (2025).
Müller, Kirill, “here: A simpler way to find your files,” (2025).
Pataranutaporn, Pat, Nattavudh Powdthavee, Chayapatr Achiwaranguprok, and Pattie Maes, “Can AI solve the peer review crisis? A large scale cross model experiment of LLMs’ performance and biases in evaluating over 1000 economics papers,” 2025.
Pedersen, Thomas Lin, “ggforce: Accelerating ‘ggplot2’,” (2025a).
——, “patchwork: The composer of plots,” (2025b).
R Core Team, “R: A language and environment for statistical computing,” (Vienna, Austria, R Foundation for Statistical Computing, 2024).
Shuangbin Xu, Meijun Chen, Tingze Feng, Li Zhan, Lang Zhou, and Guangchuang Yu, “Use ggbreak to effectively utilize plotting space to deal with large datasets and outliers.” Frontiers in Genetics, 12 (2021), 774846.
Sievert, Carson, “Interactive web-based data visualization with r, plotly, and shiny,” (Chapman; Hall/CRC, 2020).
Slowikowski, Kamil, “ggrepel: Automatically position non-overlapping text labels with ‘ggplot2’,” (2024).
Ushey, Kevin, and Hadley Wickham, “renv: Project environments,” (2023).
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, Alex Hayes, Lionel Henry, Jim Hester, Max Kuhn, Thomas Lin Pedersen, Evan Miller, Stephan Milton Bache, Kirill Müller, Jeroen Ooms, David Robinson, Dana Paige Seidel, Vitalie Spinu, Kohske Takahashi, Davis Vaughan, Claus Wilke, Kara Woo, and Hiroaki Yutani, “Welcome to the tidyverse,” Journal of Open Source Software, 4 (2019), 1686.
Wickham, Hadley, Thomas Lin Pedersen, and Dana Seidel, “scales: Scale functions for visualization,” (2025).
Xie, Yihui, “knitr: A comprehensive tool for reproducible research in R,” in Implementing reproducible computational research, Victoria Stodden, Friedrich Leisch, and Roger D. Peng, eds. (Chapman; Hall/CRC, 2014).
——, “Dynamic documents with R and knitr,” (Boca Raton, Florida, Chapman; Hall/CRC, 2015).
——, “knitr: A general-purpose package for dynamic report generation in R,” (2025).
Xie, Yihui, J. J. Allaire, and Garrett Grolemund, “R markdown: The definitive guide,” (Boca Raton, Florida, Chapman; Hall/CRC, 2018).
Xie, Yihui, Christophe Dervieux, and Emily Riederer, “R markdown cookbook,” (Boca Raton, Florida, Chapman; Hall/CRC, 2020).
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Zhang, Yaohui, Haijing Zhang, Wenlong Ji, Tianyu Hua, Nick Haber, Hancheng Cao, and Weixin Liang, “From replication to redesign: Exploring pairwise comparisons for LLM-based peer review,” arXiv preprint arXiv:2506.11343, (2025).
Zhu, Hao, “kableExtra: Construct complex table with ‘kable’ and pipe syntax,” (2024).