Encoding: UTF-8
Type: Package
Package: fastglmpca
Version: 0.1-108
Date: 2025-03-12
Title: Fast Algorithms for Generalized Principal Component Analysis
Authors@R: c(person("Eric","Weine",role=c("aut","cre"),
                    email="ericweine15@gmail.com"),
             person("Peter","Carbonetto",role="aut"),
             person("Matthew","Stephens",role="aut"))
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)
        <doi:10.1186/s13059-019-1861-6>.
License: GPL (>= 2)
URL: https://github.com/stephenslab/fastglmpca
BugReports: https://github.com/stephenslab/fastglmpca/issues
SystemRequirements: GNU make
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
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 7.3.1
Config/pak/sysreqs: make
Repository: https://stephenslab.r-universe.dev
Date/Publication: 2025-03-12 12:34:52 UTC
RemoteUrl: https://github.com/stephenslab/fastglmpca
RemoteRef: HEAD
RemoteSha: 4d7c3d145586ef562999c345a35174e03f54b35d
Packaged: 2026-06-09 08:37:12 UTC; root
Author: Eric Weine [aut, cre],
  Peter Carbonetto [aut],
  Matthew Stephens [aut]
Maintainer: Eric Weine <ericweine15@gmail.com>