DESCRIPTION

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
LazyData: true
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