Package: speckle
Type: Package
Title: Statistical methods for analysing single cell RNA-seq data
Version: 1.12.0
Date: 2025-10-14
Authors@R: 
  c(person(given = "Belinda",
           family = "Phipson",
           role = c("aut", "cre"),
           email = "phipson.b@wehi.edu.au")
    )
LazyData: FALSE
Depends: R (>= 4.2.0)
Imports: limma, edgeR, SingleCellExperiment, Seurat, ggplot2, methods,
        stats, grDevices, graphics
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, statmod, CellBench, scater,
        patchwork, jsonlite, vdiffr, testthat (>= 3.0.0)
Description: The speckle package contains functions for the analysis of
        single cell RNA-seq data. The speckle package currently
        contains functions to analyse differences in cell type
        proportions. There are also functions to estimate the
        parameters of the Beta distribution based on a given counts
        matrix, and a function to normalise a counts matrix to the
        median library size. There are plotting functions to visualise
        cell type proportions and the mean-variance relationship in
        cell type proportions and counts. As our research into
        specialised analyses of single cell data continues we
        anticipate that the package will be updated with new functions.
License: GPL-3
biocViews: SingleCell, RNASeq, Regression, GeneExpression
RoxygenNote: 7.2.2
Encoding: UTF-8
Config/testthat/edition: 3
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev
        libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:59:31 UTC
RemoteUrl: https://github.com/bioc/speckle
RemoteRef: RELEASE_3_23
RemoteSha: cced36d6e8ac6e22132a9647f36181a6d51b551e
NeedsCompilation: no
Packaged: 2026-04-30 06:36:20 UTC; root
Author: Belinda Phipson [aut, cre]
Maintainer: Belinda Phipson <phipson.b@wehi.edu.au>
Built: R 4.6.0; ; 2026-04-30 06:46:01 UTC; windows
