classifly: Explore classification models in high dimensions

Given $p$-dimensional training data containing $d$ groups (the design space), a classification algorithm (classifier) predicts which group new data belongs to. Generally the input to these algorithms is high dimensional, and the boundaries between groups will be high dimensional and perhaps curvilinear or multi-faceted. This package implements methods for understanding the division of space between the groups.

Install the latest version of this package by entering the following in R:
install.packages("classifly")
AuthorHadley Wickham <h.wickham@gmail.com>
Date of publication2014-04-23 19:51:22
MaintainerHadley Wickham <h.wickham@gmail.com>
LicenseMIT + file LICENSE
Version0.4
http://had.co.nz/classifly

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