R Packages Used for Examples

base. R Core Team (2017). 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 (2019). data.table: Extension of data.frame. R package version 1.12.2. https://CRAN.R-project.org/package=data.table

dplyr. Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2019). dplyr: A Grammar of Data Manipulation. R package version https://CRAN.R-project.org/package=dplyr

ggplot2. Hadley Wickham, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke and Kara Woo (2019). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. R package version 3.1.1. https://CRAN.R-project.org/package=ggplot2

iml. Christoph Molnar (2019). iml: Interpretable Machine Learning. R package version 0.9.0. https://CRAN.R-project.org/package=iml

knitr. Yihui Xie (2019). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.22. https://CRAN.R-project.org/package=knitr

libcoin. Torsten Hothorn (2019). libcoin: Linear Test Statistics for Permutation Inference. R package version 1.0-4. 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, Julia Schiffner, Jakob Richter, Zachary Jones, Giuseppe Casalicchio, Mason Gallo and Patrick Schratz (2018). mlr: Machine Learning in R. R package version 2.13. https://CRAN.R-project.org/package=mlr

mvtnorm. Alan Genz, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi and Torsten Hothorn (2019). mvtnorm: Multivariate Normal and t Distributions. R package version 1.0-10. https://CRAN.R-project.org/package=mvtnorm

NLP. Kurt Hornik (2018). NLP: Natural Language Processing Infrastructure. R package version 0.2-0. https://CRAN.R-project.org/package=NLP

ParamHelpers. Bernd Bischl, Michel Lang, Jakob Richter, Jakob Bossek, Daniel Horn and Pascal Kerschke (2019). ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning. R package version 1.12. https://CRAN.R-project.org/package=ParamHelpers

partykit. Torsten Hothorn and Achim Zeileis (2019). partykit: A Toolkit for Recursive Partytioning. R package version 1.2-3. https://CRAN.R-project.org/package=partykit

pre. Marjolein Fokkema and Benjamin Christoffersen (2019). pre: Prediction Rule Ensembles. R package version 0.7.0. https://CRAN.R-project.org/package=pre

readr. Hadley Wickham, Jim Hester and Romain Francois (2018). readr: Read Rectangular Text Data. R package version 1.3.1. https://CRAN.R-project.org/package=readr

rpart. Terry Therneau and Beth Atkinson (2018). rpart: Recursive Partitioning and Regression Trees. R package version 4.1-13. https://CRAN.R-project.org/package=rpart

tidyr. Hadley Wickham and Lionel Henry (2019). tidyr: Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions. R package version 0.8.3. https://CRAN.R-project.org/package=tidyr

tm. Ingo Feinerer and Kurt Hornik (2018). tm: Text Mining Package. R package version 0.7-6. 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