MetaPCA implements simultaneous dimension reduction using PCA when multiple studies are combined. We propose two basic ideas to find a common PC subspace by eigenvalue maximization approach and angle minimization approach, and we extend the concept to incorporate Robust PCA and Sparse PCA in the meta-analysis realm.
Package details |
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Author | Don Kang <donkang75@gmail.com> and George Tseng <ctseng@pitt.edu> |
Maintainer | Don Kang <donkang75@gmail.com> |
License | GPL-2 |
Version | 0.1.4 |
URL | https://github.com/donkang75/MetaPCA |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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