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glmpca: Dimension Reduction of Non-Normally Distributed Data
Implements a generalized version of principal components analysis (GLM-PCA) for dimension reduction of non-normally distributed data such as counts or binary matrices. Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>. Townes FW (2019) <arXiv:1907.02647>.
Getting started
Browse package contents
Package details |
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| Author | F. William Townes [aut, cre, cph], Kelly Street [aut], Jake Yeung [ctb] |
| Maintainer | F. William Townes <will.townes@gmail.com> |
| License | LGPL (>= 3) | file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/willtownes/glmpca |
| Package repository | View on CRAN |
| Installation |
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