Package: glmpca
Title: Dimension Reduction of Non-Normally Distributed Data
Version: 0.1.0
Description: Implements a generalized version of principal components analysis
    (GLM-PCA) for dimension reduction of non-normally distributed data such as
    counts or binary matrices.
    Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1101/574574>.
    Townes FW (2019) <arXiv:1907.02647>.
Authors@R: c(person("F. William", "Townes", email = "will.townes@gmail.com",
            role = c("aut", "cre", "cph")),
            person("Kelly", "Street", email = "street.kelly@gmail.com", role="aut"),
            person("Jake", "Yeung", email = "jakeyeung@gmail.com", role="ctb"))
License: Artistic-2.0
Depends: R (>= 3.6), stats
Imports:
Suggests: knitr, MASS, testthat, covr, ggplot2
URL: https://github.com/willtownes/glmpca
BugReports: https://github.com/willtownes/glmpca/issues
VignetteBuilder: knitr
LazyData: false
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-09-13 22:06:37 UTC; townesf
Author: F. William Townes [aut, cre, cph],
  Kelly Street [aut],
  Jake Yeung [ctb]
Maintainer: F. William Townes <will.townes@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-27 10:50:05 UTC
