testarguments: Test (Multiple) Arguments of a User-Defined Prediction Algorithm

Finding the best values for user-specified arguments of a prediction algorithm can be difficult, particularly if there is an interaction between argument levels. This package automates the testing of any user-defined prediction algorithm over an arbitrary number of arguments. It includes functions for testing the algorithm over the given arguments with respect to an arbitrary number of user-defined diagnostics, visualising the results of these tests, and finding the optimal argument combinations with respect to each diagnostic.

Version: 0.0.1
Imports: magrittr, ggplot2, reshape2, plyr, methods, stats, dplyr
Suggests: knitr, rmarkdown, markdown
Published: 2021-05-28
Author: Matthew Sainsbury-Dale [aut, cre]
Maintainer: Matthew Sainsbury-Dale <msainsburydale at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: testarguments results

Documentation:

Reference manual: testarguments.pdf
Vignettes: testarguments

Downloads:

Package source: testarguments_0.0.1.tar.gz
Windows binaries: r-devel: testarguments_0.0.1.zip, r-release: testarguments_0.0.1.zip, r-oldrel: testarguments_0.0.1.zip
macOS binaries: r-release (arm64): testarguments_0.0.1.tgz, r-release (x86_64): testarguments_0.0.1.tgz, r-oldrel: testarguments_0.0.1.tgz

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