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.
- Version0.1-103
- R version≥ 3.6
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/31/2024
Documentation
Team
Eric Weine
Peter Carbonetto
Show author detailsRolesAuthorMatthew Stephens
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 339 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 2,284 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Mar 13, 2025 with 31 downloads.
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Dependencies
- Imports6 packages
- Suggests5 packages
- Linking To3 packages