It is difficult to visualize highdimensional compositional data. One approach involves amalgamating the parts into a new set of composite features called "amalgams". This package uses genetic algorithms to find an optimal set of amalgams that satisfies an objective function. Although amalgams themselves are lowdimensional compositions, they are not subcompositions. Rather, amalgamation acts like a kind of nonlinear dimension reduction that can facilitate data understanding. Note that inferences made on amalgamations may not agree with inferences made on the full composition.
Package details 


Maintainer  
License  GPL2 
Version  0.1.8 
URL  http://github.com/tpq/amalgam 
Package repository  View on GitHub 
Installation 
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