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.


Reference manual

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0.0.1 by Matthew Sainsbury-Dale, 8 months ago

Browse source code at https://github.com/cran/testarguments

Authors: Matthew Sainsbury-Dale [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports magrittr, ggplot2, reshape2, plyr, methods, stats, dplyr

Suggests knitr, rmarkdown, markdown

See at CRAN