Package: classifly 0.4.1.9000

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.

Authors:Hadley Wickham <[email protected]>

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NEWS

Peer review:

Bug tracker:https://github.com/hadley/classifly/issues

On CRAN:

9 exports 10 stars 1.46 score 4 dependencies 35 scripts 226 downloads

Last updated 2 years agofrom:d7608e0c97. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:advantageclassiflyclassifyexploregenerate_classification_dataknnfposteriorsimvarvariables

Dependencies:classMASSplyrRcpp