Package: scpoisson
Title: Single Cell Poisson Probability Paradigm
Version: 0.0.2
Authors@R: c(
    person("Yue", "Pan", email = "yuep027@gmail.com", role = c("aut", "cre")),
    person("Justin", "Landis", email = "jtlandis314@gmail.com", role = c("aut"),
           comment = c(ORCID = "0000-0001-5501-4934")),
    person("Dirk", "Dittmer", email = "dirk_dittmer@med.unc.edu", role = "aut"),
    person("James S.", "Marron", role = "aut", email = "marron@unc.edu"),
    person("Di", "Wu", role = "aut", email = "did@email.unc.edu"))
Description: Useful to visualize the Poissoneity (an independent
        Poisson statistical framework, where each RNA measurement for
        each cell comes from its own independent Poisson distribution)
        of Unique Molecular Identifier (UMI) based single cell RNA
        sequencing (scRNA-seq) data, and explore cell clustering based
        on model departure as a novel data representation.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Suggests: renv, testthat (>= 3.0.0), vdiffr, rmarkdown, knitr, qpdf
VignetteBuilder: knitr
Config/testthat/edition: 3
Imports: ggplot2, glmpca, Seurat, magrittr, dplyr, tidyr, purrr,
        Matrix, Rdpack, SeuratObject, WGCNA, broom, stats, methods,
        matrixStats
RdMacros: Rdpack
Depends: R (>= 2.10)
NeedsCompilation: no
Author: Yue Pan [aut, cre], Justin Landis [aut] (ORCID:
        <https://orcid.org/0000-0001-5501-4934>), Dirk Dittmer [aut],
        James S. Marron [aut], Di Wu [aut]
Maintainer: Yue Pan <yuep027@gmail.com>
Packaged: 2026-10-16 08:04:59 UTC; root
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://yuepan027.r-universe.dev
Date/Publication: 2025-12-20 02:17:41 UTC
RemoteUrl: https://github.com/cran/scpoisson
RemoteRef: HEAD
RemoteSha: 23486c0ba91caa35b6b487cd1f2ae7c34abece48