Appendix A — R Packages

Table A.1: Packages used to generate this thesis

Package	Version	Citation
base	4.4.0	R Core Team (2024)
fable	0.3.4	O’Hara-Wild et al. (2024a)
feasts	0.3.2	O’Hara-Wild et al. (2024b)
grateful	0.2.4	Francisco Rodriguez-Sanchez and Connor P. Jackson (2023)
gt	0.10.1	Iannone et al. (2024)
knitr	1.46	Xie (2014); Xie (2015); Xie (2024)
rmarkdown	2.26	Xie et al. (2018); Xie et al. (2020); Allaire et al. (2024)
tidyverse	2.0.0	Wickham et al. (2019)
tsibble	1.1.4	Wang et al. (2020)

Allaire, J., Xie, Y., Dervieux, C., McPherson, J., Luraschi, J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., Chang, W., and Iannone, R. (2024), rmarkdown: Dynamic documents for r.

Francisco Rodriguez-Sanchez, and Connor P. Jackson (2023), grateful: Facilitate citation of r packages.

Iannone, R., Cheng, J., Schloerke, B., Hughes, E., Lauer, A., and Seo, J. (2024), gt: Easily create presentation-ready display tables.

O’Hara-Wild, M., Hyndman, R., and Wang, E. (2024a), fable: Forecasting models for tidy time series.

O’Hara-Wild, M., Hyndman, R., and Wang, E. (2024b), feasts: Feature extraction and statistics for time series.

R Core Team (2024), R: A language and environment for statistical computing, Vienna, Austria: R Foundation for Statistical Computing.

Wang, E., Cook, D., and Hyndman, R. J. (2020), “A new tidy data structure to support exploration and modeling of temporal data,” Journal of Computational and Graphical Statistics, Taylor & Francis, 29, 466–478. https://doi.org/10.1080/10618600.2019.1695624.

Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., Takahashi, K., Vaughan, D., Wilke, C., Woo, K., and Yutani, H. (2019), “Welcome to the tidyverse,” Journal of Open Source Software, 4, 1686. https://doi.org/10.21105/joss.01686.

Xie, Y. (2014), “knitr: A comprehensive tool for reproducible research in R,” in Implementing reproducible computational research, eds. V. Stodden, F. Leisch, and R. D. Peng, Chapman; Hall/CRC.

Xie, Y. (2015), Dynamic documents with R and knitr, Boca Raton, Florida: Chapman; Hall/CRC.

Xie, Y. (2024), knitr: A general-purpose package for dynamic report generation in r.

Xie, Y., Allaire, J. J., and Grolemund, G. (2018), R markdown: The definitive guide, Boca Raton, Florida: Chapman; Hall/CRC.

Xie, Y., Dervieux, C., and Riederer, E. (2020), R markdown cookbook, Boca Raton, Florida: Chapman; Hall/CRC.