Dimension Reduction of Non-Normally Distributed Data
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>.
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"))
covr, ggplot2, knitr, logisticPCA, markdown, Matrix,
testthat,
F. William Townes [aut, cre, cph],
  Kelly Street [aut],
  Jake Yeung [ctb]