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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>.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling source/ R- glmpca_0.2.0.tar.gz 163.4 KiB
0.2.0 rolling linux/jammy R-4.5 glmpca_0.2.0.tar.gz 225.4 KiB
0.2.0 rolling linux/noble R-4.5 glmpca_0.2.0.tar.gz 225.3 KiB
0.2.0 latest source/ R- glmpca_0.2.0.tar.gz 163.4 KiB
0.2.0 latest linux/jammy R-4.5 glmpca_0.2.0.tar.gz 225.4 KiB
0.2.0 latest linux/noble R-4.5 glmpca_0.2.0.tar.gz 225.3 KiB
0.2.0 2026-04-23 source/ R- glmpca_0.2.0.tar.gz 163.4 KiB
0.2.0 2026-04-09 windows/windows R-4.5 glmpca_0.2.0.zip 227.6 KiB
0.2.0 2025-04-20 source/ R- glmpca_0.2.0.tar.gz 163.4 KiB

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