18.1 Algorithms Setup

20210103 Packages used in this chapter include nnet (Ripley 2023), rpart (Therneau and Atkinson 2023), and rattle (G. Williams 2024).

Packages are loaded into the currently running R session from your local library directories on disk. Missing packages can be installed using utils::install.packages() within R. On Ubuntu, for example, R packages can also be installed using $ wajig install r-cran-<pkgname>.

# Load required packages from local library into the R session.

library(nnet)
library(rpart)        # ML: decision tree rpart().

References

Ripley, Brian. 2023. Nnet: Feed-Forward Neural Networks and Multinomial Log-Linear Models. http://www.stats.ox.ac.uk/pub/MASS4/.

Therneau, Terry, and Beth Atkinson. 2023. Rpart: Recursive Partitioning and Regression Trees. https://github.com/bethatkinson/rpart.

Williams, Graham. 2024. Rattle: Graphical User Interface for Data Science in r. https://rattle.togaware.com/.

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