Encoding: UTF-8
Type: Package
Package: fastglmpca
Version: 0.1-103
Date: 2024-01-23
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, MatrixExtra, 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: 7.3.0
Packaged: 2024-01-24 18:17:13 UTC; eweine
Author: Eric Weine [aut, cre],
  Peter Carbonetto [aut],
  Matthew Stephens [aut]
Maintainer: Eric Weine <ericweine15@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-31 14:40:09 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:29:29 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
