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>.
Version: 0.1-108 Depends: R (≥ 3.6) Imports: utils, Matrix, stats, distr, daarem, Rcpp (≥ 1.0.8), RcppParallel (≥ 5.1.5) LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat, knitr, rmarkdown, ggplot2, cowplot Published: 2025-03-13 DOI: 10.32614/CRAN.package.fastglmpca Author: Eric Weine [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut] Maintainer: Eric Weine <ericweine15 at gmail.com> BugReports: https://github.com/stephenslab/fastglmpca/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/stephenslab/fastglmpca NeedsCompilation: yes SystemRequirements: GNU make Materials: NEWS CRAN checks: fastglmpca results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fastglmpca to link to this page.
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