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partition: A fast and flexible framework for data reduction in R

Malcolm Barrett; Joshua Millstein

partition is a fast and flexible framework for agglomerative partitioning. partition uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. partition is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized.

This is not a CRAN submission but a development release upon completion of our JOSS paper

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