Package: sccomp
Type: Package
Title: Differential Composition and Variability Analysis for
        Single-Cell Data
Version: 2.3.0
Date: 2024-01-15
Authors@R: c(person("Stefano", "Mangiola", email = "stefano.mangiola@unimelb.edu.au", role = c("aut", "cre")), person("Alexandra J.", "Roth-Schulze", role = "aut"), person("Marie", "Trussart", role = "aut"), person("Enrique", "Zozaya-Valdés", role = "aut"), person("Mengyao", "Ma", role = "aut"), person("Zijie", "Gao", role = "aut"), person("Alan F.", "Rubin", role = "aut"), person("Terence P.", "Speed", role = "aut"), person("Heejung", "Shim", role = "aut"), person("Anthony T.", "Papenfuss", role = "aut"))
Description: Comprehensive R package for differential composition and
        variability analysis in single-cell RNA sequencing, CyTOF, and
        microbiome data. Provides robust Bayesian modeling with outlier
        detection, random effects, and advanced statistical methods for
        cell type proportion analysis. Features include probabilistic
        outlier identification, mixed-effect modeling, differential
        variability testing, and comprehensive visualization tools.
        Perfect for cancer research, immunology, developmental biology,
        and single-cell genomics applications.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.3.0), instantiate (>= 0.2.3)
Imports: stats, boot, utils, scales, lifecycle, rlang, tidyselect,
        magrittr, crayon, cli, fansi, dplyr, tidyr, purrr, tibble,
        ggplot2, ggrepel, patchwork, forcats, readr, stringr, glue,
        SingleCellExperiment
Suggests: knitr, rmarkdown, BiocStyle, testthat (>= 3.0.0), markdown,
        loo, prettydoc, SeuratObject, tidyseurat,
        tidySingleCellExperiment, bayesplot, posterior
Additional_repositories: https://mc-stan.org/r-packages/
SystemRequirements: CmdStan
        (https://mc-stan.org/users/interfaces/cmdstan), C++14
biocViews: Bayesian, Regression, DifferentialExpression, SingleCell,
        Metagenomics, FlowCytometry, Spatial
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/MangiolaLaboratory/sccomp
BugReports: https://github.com/MangiolaLaboratory/sccomp/issues
Config/testthat/edition: 3
Config/testthat/parallel: true
Config/testthat/snapshot/parallel: true
Config/testthat/snapshot/parallel/workers: 2
Config/pak/sysreqs: make libicu-dev libx11-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:13:54 UTC
RemoteUrl: https://github.com/bioc/sccomp
RemoteRef: HEAD
RemoteSha: ea505684b96ffc0a1909b3e08b6be4213a164a45
NeedsCompilation: no
Packaged: 2025-10-30 10:29:52 UTC; root
Author: Stefano Mangiola [aut, cre],
  Alexandra J. Roth-Schulze [aut],
  Marie Trussart [aut],
  Enrique Zozaya-Valdés [aut],
  Mengyao Ma [aut],
  Zijie Gao [aut],
  Alan F. Rubin [aut],
  Terence P. Speed [aut],
  Heejung Shim [aut],
  Anthony T. Papenfuss [aut]
Maintainer: Stefano Mangiola <stefano.mangiola@unimelb.edu.au>
Built: R 4.6.0; ; 2025-10-30 10:32:14 UTC; windows
