MattSainsbury-Dale/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.

Getting started

Package details

MaintainerMatthew Sainsbury-Dale <msainsburydale@gmail.com>
LicenseMIT + file LICENSE
Version0.0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MattSainsbury-Dale/testarguments")
MattSainsbury-Dale/testarguments documentation built on July 20, 2023, 3:53 a.m.