DESCRIPTION

Encoding: UTF-8
Type: Package
Package: fastglmpca
Version: 0.1-106
Date: 2024-06-26
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: 7.3.1