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.
|Author||Don Kang <email@example.com> and George Tseng <firstname.lastname@example.org>|
|Maintainer||Don Kang <email@example.com>|
|Package repository||View on CRAN|
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