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) .


Reference manual

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install.packages("fastglmpca")

0.1-108 by Eric Weine, 2 years ago


https://github.com/stephenslab/fastglmpca


Report a bug at https://github.com/stephenslab/fastglmpca/issues


Browse source code at https://github.com/cran/fastglmpca


Authors: Eric Weine [aut, cre] , Peter Carbonetto [aut] , Matthew Stephens [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports utils, Matrix, stats, distr, daarem, Rcpp, RcppParallel

Suggests testthat, knitr, rmarkdown, ggplot2, cowplot

Linking to Rcpp, RcppArmadillo, RcppParallel

System requirements: GNU make


See at CRAN