fastglmpca
Fast Algorithms for Generalized Principal Component Analysis
Implements fast, scalable optimization algorithms for fitting generalized principal components analysis (GLM-PCA) models, as described in "A Generalization of Principal Components Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE (2002, ISBN:9780262271738), and subsequently "Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-108 |
rolling source/ R- | fastglmpca_0.1-108.tar.gz |
3.6 MiB |
0.1-108 |
latest source/ R- | fastglmpca_0.1-108.tar.gz |
3.6 MiB |
0.1-108 |
2026-04-23 source/ R- | fastglmpca_0.1-108.tar.gz |
3.6 MiB |
0.1-108 |
2026-04-09 windows/windows R-4.5 | fastglmpca_0.1-108.zip |
4.4 MiB |