Package: nebula Type: Package Title: Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data Version: 1.5.7 Date: 2025-06-30 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 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) . 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), Seurat, SingleCellExperiment 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 VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev Repository: https://lhe17.r-universe.dev Date/Publication: 2026-07-05 19:12:29 UTC RemoteUrl: https://github.com/lhe17/nebula RemoteRef: HEAD RemoteSha: 297b46e5b13ee070120be901c60f4e4faa7c457d NeedsCompilation: yes Packaged: 2026-07-05 20:48:25 UTC; root Author: Liang He [aut, cre], Raghav Sharma [ctb]