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R Packages Used

arules. Hahsler M, Buchta C, Gruen B, Hornik K (2022). arules: Mining Association Rules and Frequent Itemsets. R package version 1.7-5, https://CRAN.R-project.org/package=arules.

bookdown. Xie Y (2022). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.30, https://CRAN.R-project.org/package=bookdown.

Cairo. Urbanek S, Horner J (2022). 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 1.6-0, https://CRAN.R-project.org/package=Cairo.

caret. Kuhn M (2022). caret: Classification and Regression Training. R package version 6.0-93, https://CRAN.R-project.org/package=caret.

data.table. Dowle M, Srinivasan A (2022). data.table: Extension of data.frame. R package version 1.14.6, https://CRAN.R-project.org/package=data.table.

devtools. Wickham H, Hester J, Chang W, Bryan J (2022). devtools: Tools to Make Developing R Packages Easier. R package version 2.4.5, https://CRAN.R-project.org/package=devtools.

dplyr. Wickham H, François R, Henry L, Müller K (2022). dplyr: A Grammar of Data Manipulation. R package version 1.0.10, https://CRAN.R-project.org/package=dplyr.

DT. Xie Y, Cheng J, Tan X (2022). DT: A Wrapper of the JavaScript Library ‘DataTables’. R package version 0.26, https://CRAN.R-project.org/package=DT.

e1071. Meyer D, Dimitriadou E, Hornik K, Weingessel A, Leisch F (2022). e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. R package version 1.7-12, https://CRAN.R-project.org/package=e1071.

ggplot2. Wickham H, Chang W, Henry L, Pedersen T, Takahashi K, Wilke C, Woo K, Yutani H, Dunnington D (2022). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. R package version 3.4.0, https://CRAN.R-project.org/package=ggplot2.

grid. R Core Team (2022). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

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

iml. Molnar C, Schratz P (2022). iml: Interpretable Machine Learning. R package version 0.11.1, https://CRAN.R-project.org/package=iml.

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

jpeg. Urbanek S (2022). jpeg: Read and write JPEG images. R package version 0.1-10, https://CRAN.R-project.org/package=jpeg.

jtools. Long JA (2022). jtools: Analysis and Presentation of Social Scientific Data. R package version 2.2.0, https://CRAN.R-project.org/package=jtools.

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

knitr. Xie Y (2022). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.41, https://CRAN.R-project.org/package=knitr.

latex2exp. Meschiari S (2022). latex2exp: Use LaTeX Expressions in Plots. R package version 0.9.6, https://CRAN.R-project.org/package=latex2exp.

lubridate. Spinu V, Grolemund G, Wickham H (2022). lubridate: Make Dealing with Dates a Little Easier. R package version 1.9.0, https://CRAN.R-project.org/package=lubridate.

memoise. Wickham H, Hester J, Chang W, Müller K, Cook D (2021). memoise: ‘Memoisation’ of Functions. R package version 2.0.1, https://CRAN.R-project.org/package=memoise.

mgcv. Wood S (2022). mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. R package version 1.8-41, https://CRAN.R-project.org/package=mgcv.

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

mlr. Bischl B, Lang M, Kotthoff L, Schratz P, Schiffner J, Richter J, Jones Z, Casalicchio G, Gallo M (2022). mlr: Machine Learning in R. R package version 2.19.1, https://CRAN.R-project.org/package=mlr.

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

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

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

party. Hothorn T, Hornik K, Strobl C, Zeileis A (2022). party: A Laboratory for Recursive Partytioning. R package version 1.3-11, https://CRAN.R-project.org/package=party.

partykit. Hothorn T, Zeileis A (2022). partykit: A Toolkit for Recursive Partytioning. R package version 1.2-16, https://CRAN.R-project.org/package=partykit.

patchwork. Pedersen T (2022). patchwork: The Composer of Plots. R package version 1.1.2, https://CRAN.R-project.org/package=patchwork.

png. Urbanek S (2022). png: Read and write PNG images. R package version 0.1-8, https://CRAN.R-project.org/package=png.

pre. Fokkema M, Christoffersen B (2022). pre: Prediction Rule Ensembles. R package version 1.0.5, https://CRAN.R-project.org/package=pre.

R.utils. Bengtsson H (2022). R.utils: Various Programming Utilities. R package version 2.12.2, https://CRAN.R-project.org/package=R.utils.

randomForest. Breiman FobL, Cutler A, Liaw RpbA, Wiener. M (2022). randomForest: Breiman and Cutler’s Random Forests for Classification and Regression. R package version 4.7-1.1, https://CRAN.R-project.org/package=randomForest.

readr. Wickham H, Hester J, Bryan J (2022). readr: Read Rectangular Text Data. R package version 2.1.3, https://CRAN.R-project.org/package=readr.

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

roxygen2. Wickham H, Danenberg P, Csárdi G, Eugster M (2022). roxygen2: In-Line Documentation for R. R package version 7.2.2, https://CRAN.R-project.org/package=roxygen2.

rpart. Therneau T, Atkinson B (2022). rpart: Recursive Partitioning and Regression Trees. R package version 4.1.19, https://CRAN.R-project.org/package=rpart.

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

shiny. Chang W, Cheng J, Allaire J, Sievert C, Schloerke B, Xie Y, Allen J, McPherson J, Dipert A, Borges B (2022). shiny: Web Application Framework for R. R package version 1.7.3, https://CRAN.R-project.org/package=shiny.

svglite. Wickham H, Henry L, Pedersen T, Luciani T, Decorde M, Lise V (2022). svglite: An ‘SVG’ Graphics Device. R package version 2.1.0, https://CRAN.R-project.org/package=svglite.

tidyr. Wickham H, Girlich M (2022). tidyr: Tidy Messy Data. R package version 1.2.1, https://CRAN.R-project.org/package=tidyr.

tm. Feinerer I, Hornik K (2022). tm: Text Mining Package. R package version 0.7-9, https://CRAN.R-project.org/package=tm.

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

xgboost. Chen T, He T, Benesty M, Khotilovich V, Tang Y, Cho H, Chen K, Mitchell R, Cano I, Zhou T, Li M, Xie J, Lin M, Geng Y, Li Y, Yuan J (2022). xgboost: Extreme Gradient Boosting. R package version 1.6.0.1, https://CRAN.R-project.org/package=xgboost.

yaImpute. Evans J, Crookston N, Finley A (2022). yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools. R package version 1.0-33, https://CRAN.R-project.org/package=yaImpute.