Software citations

References

Allaire, JJ, Jeffrey Horner, and Yihui Xie. 2022. Markdown: Render Markdown with ’Commonmark’. https://CRAN.R-project.org/package=markdown.

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2022. Rmarkdown: Dynamic Documents for r. https://github.com/rstudio/rmarkdown.

Almende B.V. and Contributors, and Benoit Thieurmel. 2022. visNetwork: Network Visualization Using ’Vis.js’ Library. https://CRAN.R-project.org/package=visNetwork.

Arel-Bundock, Vincent. 2022a. Marginaleffects: Marginal Effects, Marginal Means, Predictions, and Contrasts. https://CRAN.R-project.org/package=marginaleffects.

———. 2022b. “modelsummary: Data and Model Summaries in R.” Journal of Statistical Software 103 (1): 1–23. https://doi.org/10.18637/jss.v103.i01.

———. 2022c. Softbib: Software Bibliographies for r Projects.

———. 2022d. WDI: World Development Indicators and Other World Bank Data. https://CRAN.R-project.org/package=WDI.

Arel-Bundock, Vincent, Nils Enevoldsen, and CJ Yetman. 2018. “Countrycode: An r Package to Convert Country Names and Country Codes.” Journal of Open Source Software 3 (28): 848. https://doi.org/10.21105/joss.00848.

Barrett, Malcolm. 2022. Ggdag: Analyze and Create Elegant Directed Acyclic Graphs. https://CRAN.R-project.org/package=ggdag.

Beger, Andreas. 2021. States: Create Panels of Independent States. https://CRAN.R-project.org/package=states.

Bolker, Ben, and David Robinson. 2022. Broom.mixed: Tidying Methods for Mixed Models. https://CRAN.R-project.org/package=broom.mixed.

Bürkner, Paul-Christian. 2017. “brms: An R Package for Bayesian Multilevel Models Using Stan.” Journal of Statistical Software 80 (1): 1–28. https://doi.org/10.18637/jss.v080.i01.

———. 2018. “Advanced Bayesian Multilevel Modeling with the R Package brms.” The R Journal 10 (1): 395–411. https://doi.org/10.32614/RJ-2018-017.

———. 2021. “Bayesian Item Response Modeling in R with brms and Stan.” Journal of Statistical Software 100 (5): 1–54. https://doi.org/10.18637/jss.v100.i05.

Csárdi, Gábor, Jim Hester, Hadley Wickham, Winston Chang, Martin Morgan, and Dan Tenenbaum. 2021. Remotes: R Package Installation from Remote Repositories, Including ’GitHub’. https://CRAN.R-project.org/package=remotes.

Firke, Sam. 2021. Janitor: Simple Tools for Examining and Cleaning Dirty Data. https://CRAN.R-project.org/package=janitor.

Gabry, Jonah, and Rok Češnovar. 2022. Cmdstanr: R Interface to ’CmdStan’.

Gabry, Jonah, and Tristan Mahr. 2022. “Bayesplot: Plotting for Bayesian Models.” https://mc-stan.org/bayesplot/.

Gabry, Jonah, Daniel Simpson, Aki Vehtari, Michael Betancourt, and Andrew Gelman. 2019. “Visualization in Bayesian Workflow.” J. R. Stat. Soc. A 182: 389–402. https://doi.org/10.1111/rssa.12378.

Grolemund, Garrett, and Hadley Wickham. 2011. “Dates and Times Made Easy with lubridate.” Journal of Statistical Software 40 (3): 1–25. https://www.jstatsoft.org/v40/i03/.

Hester, Jim, and Jennifer Bryan. 2022. Glue: Interpreted String Literals.

Hvitfeldt, Emil. 2022. Emoji: Data and Function to Work with Emojis. https://CRAN.R-project.org/package=emoji.

Iannone, Richard, Joe Cheng, Barret Schloerke, and Ellis Hughes. 2022. Gt: Easily Create Presentation-Ready Display Tables. https://CRAN.R-project.org/package=gt.

Kay, Matthew. 2022. tidybayes: Tidy Data and Geoms for Bayesian Models. https://doi.org/10.5281/zenodo.1308151.

———. n.d. ggdist: Visualizations of Distributions and Uncertainty. https://doi.org/10.5281/zenodo.3879620.

Landau, William Michael. 2021a. Tarchetypes: Archetypes for Targets.

———. 2021b. “The Targets r Package: A Dynamic Make-Like Function-Oriented Pipeline Toolkit for Reproducibility and High-Performance Computing.” Journal of Open Source Software 6 (57): 2959. https://doi.org/10.21105/joss.02959.

Lüdecke, Daniel, Mattan S. Ben-Shachar, Indrajeet Patil, Philip Waggoner, and Dominique Makowski. 2021. “performance: An R Package for Assessment, Comparison and Testing of Statistical Models.” Journal of Open Source Software 6 (60): 3139. https://doi.org/10.21105/joss.03139.

Meschiari, Stefano. 2022. Latex2exp: Use LaTeX Expressions in Plots. https://CRAN.R-project.org/package=latex2exp.

Müller, Kirill. 2020. Here: A Simpler Way to Find Your Files. https://CRAN.R-project.org/package=here.

Müller, Kirill, and Hadley Wickham. 2022. Tibble: Simple Data Frames.

Nowosad, Jakub. 2018. ’CARTOColors’ Palettes. https://nowosad.github.io/rcartocolor.

Ooms, Jeroen. 2014. “The Jsonlite Package: A Practical and Consistent Mapping Between JSON Data and r Objects.” arXiv:1403.2805 [Stat.CO]. https://arxiv.org/abs/1403.2805.

Pebesma, Edzer. 2018. “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal 10 (1): 439–46. https://doi.org/10.32614/RJ-2018-009.

Pedersen, Thomas Lin. 2022. Patchwork: The Composer of Plots. https://CRAN.R-project.org/package=patchwork.

Robinson, David, Alex Hayes, and Simon Couch. 2022. Broom: Convert Statistical Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom.

Stan Development Team. 2022. “RStan: The R Interface to Stan.” https://mc-stan.org/.

Textor, Johannes, Benito van der Zander, Mark S Gilthorpe, Maciej Liśkiewicz, and George TH Ellison. 2016. “Robust Causal Inference Using Directed Acyclic Graphs: The r Package ’Dagitty’.” International Journal of Epidemiology 45 (6): 1887–94. https://doi.org/10.1093/ije/dyw341.

Tierney, Nicholas, Di Cook, Miles McBain, and Colin Fay. 2021. Naniar: Data Structures, Summaries, and Visualisations for Missing Data. https://CRAN.R-project.org/package=naniar.

Ushey, Kevin. 2022. Renv: Project Environments. https://CRAN.R-project.org/package=renv.

van den Brand, Teun. 2022. Ggh4x: Hacks for ’Ggplot2’. https://CRAN.R-project.org/package=ggh4x.

Wickham, Hadley. 2011. “Testthat: Get Started with Testing.” The R Journal 3: 5–10. https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.

———. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.

———. 2022. Httr: Tools for Working with URLs and HTTP. https://CRAN.R-project.org/package=httr.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, and Jennifer Bryan. 2022. Readxl: Read Excel Files. https://CRAN.R-project.org/package=readxl.

Wickham, Hadley, and Maximilian Girlich. 2022. Tidyr: Tidy Messy Data.

Wickham, Hadley, Jim Hester, and Jeroen Ooms. 2021. Xml2: Parse XML. https://CRAN.R-project.org/package=xml2.

Wickham, Hadley, Evan Miller, and Danny Smith. 2022. Haven: Import and Export ’SPSS’, ’Stata’ and ’SAS’ Files. https://CRAN.R-project.org/package=haven.

Wickham, Hadley, and Dana Seidel. 2022. Scales: Scale Functions for Visualization.

Wilke, Claus O., and Brenton M. Wiernik. 2022. Ggtext: Improved Text Rendering Support for ’Ggplot2’. https://CRAN.R-project.org/package=ggtext.

Wolodzko, Tymoteusz. 2020. extraDistr: Additional Univariate and Multivariate Distributions. https://CRAN.R-project.org/package=extraDistr.

Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC. http://www.crcpress.com/product/isbn/9781466561595.

———. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. https://yihui.org/knitr/.

———. 2022. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.

Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.

Xie, Yihui, Joe Cheng, and Xianying Tan. 2022. DT: A Wrapper of the JavaScript Library ’DataTables’. https://CRAN.R-project.org/package=DT.

Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R Markdown Cookbook. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown-cookbook.

Zeileis, Achim, and Gabor Grothendieck. 2005. “Zoo: S3 Infrastructure for Regular and Irregular Time Series.” Journal of Statistical Software 14 (6): 1–27. https://doi.org/10.18637/jss.v014.i06.