Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models R package FLASHMM version 1.3.0 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. Software Imports: stats, MASS, Matrix Suggests: knitr, rmarkdown, devtools Changjiang Xu <changjiang.xu@utoronto.ca> Comprehensive R Archive Network (CRAN) Changjiang Xu [aut, cre], Delaram Pouyabahar [ctb], Veronique Voisin [ctb], Gary Bader [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=FLASHMM/LICENSE) 2026-04-07 application/tgz https://CRAN.R-project.org/package=FLASHMM doi:10.32614/CRAN.package.FLASHMM