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.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.