Package: FLASHMM
Title: Fast and Scalable Single Cell Differential Expression Analysis
        using Mixed-Effects Models
Version: 1.3.0
Authors@R: c(
  person("Changjiang", "Xu", email = "changjiang.xu@utoronto.ca", role = c("aut", "cre")),
  person("Delaram", "Pouyabahar", email = "d.pouyabahar@mail.utoronto.ca", role = "ctb"),
  person("Veronique", "Voisin", email = "veronique.voisin@gmail.com", role = "ctb"),
  person("Gary", "Bader", email = "gary.bader@utoronto.ca", role = "ctb"))
Description: A fast and scalable linear mixed-effects model (LMM)
        estimation algorithm for analysis of single-cell differential
        expression. The algorithm uses summary-level statistics and
        requires less computer memory to fit the LMM.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: stats, MASS, Matrix
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
URL: https://github.com/BaderLab/FLASHMM
BugReports: https://github.com/BaderLab/FLASHMM/issues
Repository: https://baderlab.r-universe.dev
Date/Publication: 2026-04-08 03:15:49 UTC
RemoteUrl: https://github.com/baderlab/flashmm
RemoteRef: HEAD
RemoteSha: 3fe4db9cbfc2dc232d657c95aefddf4a0ca31fc0
NeedsCompilation: no
Packaged: 2026-10-05 10:37:39 UTC; root
Author: Changjiang Xu [aut, cre],
  Delaram Pouyabahar [ctb],
  Veronique Voisin [ctb],
  Gary Bader [ctb]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>
Built: R 4.6.0; ; 2026-10-05 10:39:53 UTC; unix
