Package: glmpca
Title: Dimension Reduction of Non-Normally Distributed Data
Version: 0.2.0.9000
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:10.1186/s13059-019-1861-6>. 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: LGPL (>= 3) | file LICENSE
Depends: R (>= 3.5),
Imports: MASS, methods, stats, utils
Suggests: covr, ggplot2, knitr, logisticPCA, markdown, Matrix,
        testthat,
URL: https://github.com/willtownes/glmpca
BugReports: https://github.com/willtownes/glmpca/issues
Language: en-US
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
Repository: https://willtownes.r-universe.dev
Date/Publication: 2024-04-18 17:51:44 UTC
RemoteUrl: https://github.com/willtownes/glmpca
RemoteRef: HEAD
RemoteSha: 0536890a3ad8090abe5b257d95b998698ec8a5f1
NeedsCompilation: no
Packaged: 2026-06-21 09:37:28 UTC; root
Author: F. William Townes [aut, cre, cph],
  Kelly Street [aut],
  Jake Yeung [ctb]
Maintainer: F. William Townes <will.townes@gmail.com>