Package: nebula
Type: Package
Title: Negative Binomial Mixed Models Using Large-Sample Approximation
        for Differential Expression Analysis of ScRNA-Seq Data
Version: 1.5.8
Date: 2026-07-10
Authors@R: c(
    person("Liang", "He", email = "hyx520101@gmail.com", role = c("aut", "cre")),
    person("Raghav", "Sharma", email = "raghavv.sharma@mail.utoronto.ca", role = "ctb"))
Maintainer: Liang He <hyx520101@gmail.com>
Description: A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.  
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.7), nloptr, stats, Matrix, methods, Rfast, trust,
        parallelly (>= 1.34.0), doFuture (>= 0.12.2), future (>=
        1.32.0), foreach (>= 1.5.2), doRNG (>= 1.8.6)
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 4.4.0)
URL: https://github.com/lhe17/nebula
BugReports: https://github.com/lhe17/nebula/issues
Suggests: knitr, utils, rmarkdown, Seurat, SingleCellExperiment,
        testthat
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-07-12 00:45:26 UTC; LHE-lenovo
Author: Liang He [aut, cre],
  Raghav Sharma [ctb]
Repository: CRAN
Date/Publication: 2026-07-12 06:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-09-03 02:18:25 UTC; windows
Archs: x64
