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
Config/pak/sysreqs: cmake
Repository: https://lhe17.r-universe.dev
Date/Publication: 2026-07-12 17:06:45 UTC
RemoteUrl: https://github.com/lhe17/nebula
RemoteRef: HEAD
RemoteSha: 70593f95342e623f721ec5919adc53868e25a2b0
NeedsCompilation: yes
Packaged: 2026-10-11 15:02:07 UTC; root
Author: Liang He [aut, cre],
  Raghav Sharma [ctb]