Angle Based Joint and Individual Variation Explained (AJIVE) is a dimensionality reduction algorithm for multiple data blocks (multiple data matrices with the same set of observations, but distinct variables). AJIVE finds joint modes of variation that are common to all data blocks as well as individual modes of variation that are specific to each block. TODO: add more.
Package details 


Maintainer  
License  MIT + file LICENSE 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
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