This package implements Joint association and classification analysis of multi-view data <arXiv:1811.08511 [stat.ML]>. Multi-view data refers to matched sets of measurements on the same subjects, and JACA is a joint statistical framework that performs association and classification analysis simultaneously. This package contains functions to fit the model, tune parameters and classify observations using the supplied model.
|Author||Yunfeng Zhang and Irina Gaynanova|
|Maintainer||Yunfeng Zhang <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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