Package: FLASHMM
Title: Fast and Scalable Single Cell Differential Expression Analysis
        using Mixed-Effects Models
Version: 1.1.0
Authors@R: c(
  person("Changjiang", "Xu", email = "changjiang.xu@utoronto.ca", role = c("aut", "cre")),
  person("Gary", "Bader", role = "aut"))
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: 7.3.2
Imports: stats, MASS, Matrix
Suggests: knitr, bookdown, rmarkdown, devtools, BiocManager,
        SingleCellExperiment, ExperimentHub
VignetteBuilder: knitr
URL: https://github.com/BaderLab/FLASHMM
BugReports: https://github.com/BaderLab/FLASHMM/issues
NeedsCompilation: no
Packaged: 2025-03-11 21:13:07 UTC; changjiangxu
Author: Changjiang Xu [aut, cre],
  Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>
Repository: CRAN
Date/Publication: 2025-03-11 21:30:08 UTC
