R Packages Used

arules. Michael Hahsler, Christian Buchta, Bettina Gruen and Kurt Hornik (2022). arules: Mining Association Rules and Frequent Itemsets. R package version 1.7-3. https://CRAN.R-project.org/package=arules

bookdown. Yihui Xie (2021). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.24. https://CRAN.R-project.org/package=bookdown

Cairo. Simon Urbanek and Jeffrey Horner (2021). Cairo: R Graphics Device using Cairo Graphics Library for Creating High-Quality Bitmap (PNG, JPEG, TIFF), Vector (PDF, SVG, PostScript) and Display (X11 and Win32) Output. R package version 1.5-14. https://CRAN.R-project.org/package=Cairo

caret. Max Kuhn (2021). caret: Classification and Regression Training. R package version 6.0-90. https://CRAN.R-project.org/package=caret

data.table. Matt Dowle and Arun Srinivasan (2021). data.table: Extension of data.frame. R package version 1.14.2. https://CRAN.R-project.org/package=data.table

devtools. Hadley Wickham, Jim Hester, Winston Chang and Jennifer Bryan (2021). devtools: Tools to Make Developing R Packages Easier. R package version 2.4.3. https://CRAN.R-project.org/package=devtools

dplyr. Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2022). dplyr: A Grammar of Data Manipulation. R package version 1.0.8. https://CRAN.R-project.org/package=dplyr

DT. Yihui Xie, Joe Cheng and Xianying Tan (2022). DT: A Wrapper of the JavaScript Library ‘DataTables’. R package version 0.21. https://CRAN.R-project.org/package=DT

e1071. David Meyer, Evgenia Dimitriadou, Kurt Hornik, Andreas Weingessel and Friedrich Leisch (2021). e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. R package version 1.7-9. https://CRAN.R-project.org/package=e1071

ggplot2. Hadley Wickham, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani and Dewey Dunnington (2021). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. R package version 3.3.5. https://CRAN.R-project.org/package=ggplot2

grid. R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

gridExtra. Baptiste Auguie (2017). gridExtra: Miscellaneous Functions for “Grid” Graphics. R package version 2.3. https://CRAN.R-project.org/package=gridExtra

iml. Christoph Molnar and Patrick Schratz (2020). iml: Interpretable Machine Learning. R package version 0.10.1. https://CRAN.R-project.org/package=iml

interactions. Jacob A. Long (2021). interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions. R package version 1.1.5. https://CRAN.R-project.org/package=interactions

jpeg. Simon Urbanek (2021). jpeg: Read and write JPEG images. R package version 0.1-9. https://CRAN.R-project.org/package=jpeg

jtools. Jacob A. Long (2021). jtools: Analysis and Presentation of Social Scientific Data. R package version 2.1.4. https://CRAN.R-project.org/package=jtools

kableExtra. Hao Zhu (2021). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.3.4. https://CRAN.R-project.org/package=kableExtra

knitr. Yihui Xie (2021). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.37. https://CRAN.R-project.org/package=knitr

latex2exp. Stefano Meschiari (2022). latex2exp: Use LaTeX Expressions in Plots. R package version 0.9.4. https://CRAN.R-project.org/package=latex2exp

lubridate. Vitalie Spinu, Garrett Grolemund and Hadley Wickham (2021). lubridate: Make Dealing with Dates a Little Easier. R package version 1.8.0. https://CRAN.R-project.org/package=lubridate

memoise. Hadley Wickham, Jim Hester, Winston Chang, Kirill Müller and Daniel Cook (2021). memoise: ‘Memoisation’ of Functions. R package version 2.0.1. https://CRAN.R-project.org/package=memoise

mgcv. Simon Wood (2021). mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. R package version 1.8-38. https://CRAN.R-project.org/package=mgcv

mlbench. Friedrich Leisch and Evgenia Dimitriadou. (2021). mlbench: Machine Learning Benchmark Problems. R package version 2.1-3. https://CRAN.R-project.org/package=mlbench

mlr. Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz, Julia Schiffner, Jakob Richter, Zachary Jones, Giuseppe Casalicchio and Mason Gallo (2021). mlr: Machine Learning in R. R package version 2.19.0. https://CRAN.R-project.org/package=mlr

mmpf. Zachary Jones (2018). mmpf: Monte-Carlo Methods for Prediction Functions. R package version 0.0.5. https://CRAN.R-project.org/package=mmpf

numDeriv. Paul Gilbert and Ravi Varadhan (2019). numDeriv: Accurate Numerical Derivatives. R package version 2016.8-1.1. https://CRAN.R-project.org/package=numDeriv

OneR. Holger von Jouanne-Diedrich (2017). OneR: One Rule Machine Learning Classification Algorithm with Enhancements. R package version 2.2. https://CRAN.R-project.org/package=OneR

party. Torsten Hothorn, Kurt Hornik, Carolin Strobl and Achim Zeileis (2021). party: A Laboratory for Recursive Partytioning. R package version 1.3-9. https://CRAN.R-project.org/package=party

partykit. Torsten Hothorn and Achim Zeileis (2021). partykit: A Toolkit for Recursive Partytioning. R package version 1.2-15. https://CRAN.R-project.org/package=partykit

patchwork. Thomas Lin Pedersen (2020). patchwork: The Composer of Plots. R package version 1.1.1. https://CRAN.R-project.org/package=patchwork

png. Simon Urbanek (2013). png: Read and write PNG images. R package version 0.1-7. https://CRAN.R-project.org/package=png

pre. Marjolein Fokkema and Benjamin Christoffersen (2022). pre: Prediction Rule Ensembles. R package version 1.0.2. https://CRAN.R-project.org/package=pre

R.utils. Henrik Bengtsson (2021). R.utils: Various Programming Utilities. R package version 2.11.0. https://CRAN.R-project.org/package=R.utils

randomForest. Fortran original by Leo Breiman, Adele Cutler, R port by Andy Liaw and Matthew Wiener. (2022). randomForest: Breiman and Cutler’s Random Forests for Classification and Regression. R package version 4.7-1. https://CRAN.R-project.org/package=randomForest

readr. Hadley Wickham, Jim Hester and Jennifer Bryan (2022). readr: Read Rectangular Text Data. R package version 2.1.2. https://CRAN.R-project.org/package=readr

rjson. Alex Couture-Beil (2022). rjson: JSON for R. R package version 0.2.21. https://CRAN.R-project.org/package=rjson

roxygen2. Hadley Wickham, Peter Danenberg, Gábor Csárdi and Manuel Eugster (2021). roxygen2: In-Line Documentation for R. R package version 7.1.2. https://CRAN.R-project.org/package=roxygen2

rpart. Terry Therneau and Beth Atkinson (2019). rpart: Recursive Partitioning and Regression Trees. R package version 4.1-15. https://CRAN.R-project.org/package=rpart

RWeka. Kurt Hornik (2021). RWeka: R/Weka Interface. R package version 0.4-44. https://CRAN.R-project.org/package=RWeka

shiny. Winston Chang, Joe Cheng, JJ Allaire, Carson Sievert, Barret Schloerke, Yihui Xie, Jeff Allen, Jonathan McPherson, Alan Dipert and Barbara Borges (2021). shiny: Web Application Framework for R. R package version 1.7.1. https://CRAN.R-project.org/package=shiny

svglite. Hadley Wickham, Lionel Henry, Thomas Lin Pedersen, T Jake Luciani, Matthieu Decorde and Vaudor Lise (2022). svglite: An ‘SVG’ Graphics Device. R package version 2.1.0. https://CRAN.R-project.org/package=svglite

tidyr. Hadley Wickham and Maximilian Girlich (2022). tidyr: Tidy Messy Data. R package version 1.2.0. https://CRAN.R-project.org/package=tidyr

tm. Ingo Feinerer and Kurt Hornik (2020). tm: Text Mining Package. R package version 0.7-8. https://CRAN.R-project.org/package=tm

viridis. Simon Garnier (2021). viridis: Colorblind-Friendly Color Maps for R. R package version 0.6.2. https://CRAN.R-project.org/package=viridis

xgboost. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, Yuan Tang, Hyunsu Cho, Kailong Chen, Rory Mitchell, Ignacio Cano, Tianyi Zhou, Mu Li, Junyuan Xie, Min Lin, Yifeng Geng, Yutian Li and Jiaming Yuan (2022). xgboost: Extreme Gradient Boosting. R package version 1.5.2.1. https://CRAN.R-project.org/package=xgboost

yaImpute. Nicholas L. Crookston, Andrew O. Finley and John Coulston (2020). yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools. R package version 1.0-32. https://CRAN.R-project.org/package=yaImpute