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fastglmpca  

Fast Algorithms for Generalized Principal Component Analysis
View on CRAN: Click here


Download and install fastglmpca package within the R console
Install from CRAN:
install.packages("fastglmpca")

Install from Github:
library("remotes")
install_github("cran/fastglmpca")

Install by package version:
library("remotes")
install_version("fastglmpca", "0.1-108")



Attach the package and use:
library("fastglmpca")
Maintained by
Eric Weine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-31
Latest Update: 2025-03-13
Description:
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) .
How to cite:
Eric Weine (2024). fastglmpca: Fast Algorithms for Generalized Principal Component Analysis. R package version 0.1-108, https://cran.r-project.org/web/packages/fastglmpca. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 0.1-103 (2024-01-31 15:40), 0.1-107 (2025-03-10 14:10)
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Complete documentation for fastglmpca
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