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mmpca: Integrative Analysis of Several Related Data Matrices
A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <arXiv:1911.04927>.
Getting started
Browse package contents
Package details |
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| Author | Jonatan Kallus [aut], Felix Held [ctb, cre] |
| Maintainer | Felix Held <felix.held@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.0.3 |
| URL | https://github.com/cyianor/mmpca |
| Package repository | View on CRAN |
| Installation |
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