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.
| Version: | 0.1.4 |
| Depends: | R (≥ 2.10.0), foreach |
| Suggests: | MASS, GEOquery, pcaPP, affy, hgu133plus2.db, doMC, doSMP, ellipse, impute |
| Published: | 2011-06-15 |
| Author: | Don Kang and George Tseng |
| Maintainer: | Don Kang <donkang75 at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/donkang75/MetaPCA |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | MetaPCA results |
| Reference manual: | MetaPCA.pdf |
| Package source: | MetaPCA_0.1.4.tar.gz |
| Windows binaries: | r-devel: MetaPCA_0.1.4.zip, r-release: MetaPCA_0.1.4.zip, r-oldrel: MetaPCA_0.1.4.zip |
| macOS binaries: | r-release: MetaPCA_0.1.4.tgz, r-oldrel: MetaPCA_0.1.4.tgz |
| Old sources: | MetaPCA archive |
Please use the canonical form https://CRAN.R-project.org/package=MetaPCA to link to this page.