References

This document was built using the R packages listed below. Citations are automatically generated from the file packages.bib.

Almende B.V. and Contributors, and Benoit Thieurmel. 2025. visNetwork: Network Visualization Using Vis.js Library. https://datastorm-open.github.io/visNetwork/.
Arnold, Jeffrey B. 2025. Ggthemes: Extra Themes, Scales and Geoms for Ggplot2. https://jrnold.github.io/ggthemes/.
Breiman, Leo, Adele Cutler, Andy Liaw, and Matthew Wiener. 2024. randomForest: Breiman and Cutlers Random Forests for Classification and Regression. https://www.stat.berkeley.edu/~breiman/RandomForests/.
Canty, Angelo, and Brian Ripley. 2025. Boot: Bootstrap Functions. https://doi.org/10.32614/CRAN.package.boot.
Fritsch, Stefan, Frauke Guenther, and Marvin N. Wright. 2019. Neuralnet: Training of Neural Networks. https://github.com/bips-hb/neuralnet.
Kuhn, Max. 2024. Caret: Classification and Regression Training. https://github.com/topepo/caret/.
Kuhn, Max, and Ross Quinlan. 2025. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.
———. 2026. Cubist: Rule- and Instance-Based Regression Modeling. https://topepo.github.io/Cubist/.
Lawlor, Jake. 2020. PNWColors: Color Palettes Inspired by Nature in the US Pacific Northwest. https://github.com/jakelawlor/PNWColors.
Ooms, Jeroen. 2025. Av: Working with Audio and Video in r. https://ropensci.r-universe.dev/av.
Pedersen, Thomas Lin, and David Robinson. 2025. Gganimate: A Grammar of Animated Graphics. https://gganimate.com.
Peters, Andrea, and Torsten Hothorn. 2024. Ipred: Improved Predictors. https://doi.org/10.32614/CRAN.package.ipred.
Ridgeway, Greg, and GBM Developers. 2026. Gbm: Generalized Boosted Regression Models. https://github.com/gbm-developers/gbm.
Ripley, Brian. 2025a. Class: Functions for Classification. http://www.stats.ox.ac.uk/pub/MASS4/.
———. 2025b. Nnet: Feed-Forward Neural Networks and Multinomial Log-Linear Models. http://www.stats.ox.ac.uk/pub/MASS4/.
Slowikowski, Kamil. 2026. Ggrepel: Automatically Position Non-Overlapping Text Labels with Ggplot2. https://ggrepel.slowkow.com/.
Therneau, Terry, and Beth Atkinson. 2025. Rpart: Recursive Partitioning and Regression Trees. https://github.com/bethatkinson/rpart.
Vaidyanathan, Ramnath, Kent Russell, and Gareth Watts. 2016. Sparkline: jQuery Sparkline Htmlwidget. https://doi.org/10.32614/CRAN.package.sparkline.
Wickham, Hadley. 2023. Tidyverse: Easily Install and Load the Tidyverse. https://tidyverse.tidyverse.org.
Wickham, Hadley, Thomas Lin Pedersen, and Dana Seidel. 2025. Scales: Scale Functions for Visualization. https://scales.r-lib.org.
Wilke, Claus O. 2025. Ggridges: Ridgeline Plots in Ggplot2. https://wilkelab.org/ggridges/.