Single Cell Poisson Probability Paradigm R package scpoisson version 0.0.2 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. Software Depends: R (>= 2.10) Imports: ggplot2, glmpca, Seurat, magrittr, dplyr, tidyr, purrr, Matrix, Rdpack, SeuratObject, WGCNA, broom, stats, methods, matrixStats Suggests: renv, testthat (>= 3.0.0), vdiffr, rmarkdown, knitr, qpdf Yue Pan <yuep027@gmail.com> Comprehensive R Archive Network (CRAN) 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] MIT + file LICENSE (https://CRAN.R-project.org/package=scpoisson/LICENSE) 2025-12-20 application/tgz https://CRAN.R-project.org/package=scpoisson doi:10.32614/CRAN.package.scpoisson