R Packages Used for Examples

base. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

data.table. Matt Dowle and Arun Srinivasan (2020). data.table: Extension of data.frame. R package version 1.13.2. https://CRAN.R-project.org/package=data.table

dplyr. Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2020). dplyr: A Grammar of Data Manipulation. R package version 1.0.2. https://CRAN.R-project.org/package=dplyr

ggplot2. Hadley Wickham, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani and Dewey Dunnington (2020). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. R package version 3.3.2. https://CRAN.R-project.org/package=ggplot2

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

knitr. Yihui Xie (2020). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.30. https://CRAN.R-project.org/package=knitr

libcoin. Torsten Hothorn (2020). libcoin: Linear Test Statistics for Permutation Inference. R package version 1.0-6. https://CRAN.R-project.org/package=libcoin

memoise. Hadley Wickham, Jim Hester, Kirill Müller and Daniel Cook (2017). memoise: Memoisation of Functions. R package version 1.1.0. https://CRAN.R-project.org/package=memoise

mlr. Bernd Bischl, Michel Lang, Lars Kotthoff, Patrick Schratz, Julia Schiffner, Jakob Richter, Zachary Jones, Giuseppe Casalicchio and Mason Gallo (2020). mlr: Machine Learning in R. R package version 2.18.0. https://CRAN.R-project.org/package=mlr

mvtnorm. Alan Genz, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi and Torsten Hothorn (2020). mvtnorm: Multivariate Normal and t Distributions. R package version 1.1-1. https://CRAN.R-project.org/package=mvtnorm

NLP. Kurt Hornik (2020). NLP: Natural Language Processing Infrastructure. R package version 0.2-1. https://CRAN.R-project.org/package=NLP

ParamHelpers. Bernd Bischl, Michel Lang, Jakob Richter, Jakob Bossek, Daniel Horn and Pascal Kerschke (2020). ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning. R package version 1.14. https://CRAN.R-project.org/package=ParamHelpers

partykit. Torsten Hothorn and Achim Zeileis (2020). partykit: A Toolkit for Recursive Partytioning. R package version 1.2-10. https://CRAN.R-project.org/package=partykit

pre. Marjolein Fokkema and Benjamin Christoffersen (2020). pre: Prediction Rule Ensembles. R package version 1.0.0. https://CRAN.R-project.org/package=pre

readr. Hadley Wickham and Jim Hester (2020). readr: Read Rectangular Text Data. R package version 1.4.0. https://CRAN.R-project.org/package=readr

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

tidyr. Hadley Wickham (2020). tidyr: Tidy Messy Data. R package version 1.1.2. 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 (2018). viridis: Default Color Maps from 'matplotlib'. R package version 0.5.1. https://CRAN.R-project.org/package=viridis

viridisLite. Simon Garnier (2018). viridisLite: Default Color Maps from 'matplotlib' (Lite Version). R package version 0.3.0. https://CRAN.R-project.org/package=viridisLite