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FLASHMM: Fast and Scalable Single Cell Differential Expression Analysisusing Mixed-Effects Models

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.

Version:1.2.3
Imports:stats,MASS,Matrix
Suggests:knitr,rmarkdown,devtools
Published:2025-08-26
DOI:10.32614/CRAN.package.FLASHMM
Author:Changjiang Xu [aut, cre], Delaram Pouyabahar [ctb], Veronique Voisin [ctb], Gary Bader [ctb]
Maintainer:Changjiang Xu <changjiang.xu at utoronto.ca>
BugReports:https://github.com/BaderLab/FLASHMM/issues
License:MIT + fileLICENSE
URL:https://github.com/BaderLab/FLASHMM
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:FLASHMM results

Documentation:

Reference manual:FLASHMM.html ,FLASHMM.pdf
Vignettes:Single-cell differential expression analysis with FLASHMM (source,R code)

Downloads:

Package source: FLASHMM_1.2.3.tar.gz
Windows binaries: r-devel:FLASHMM_1.2.3.zip, r-release:FLASHMM_1.2.3.zip, r-oldrel:FLASHMM_1.2.3.zip
macOS binaries: r-release (arm64):FLASHMM_1.2.3.tgz, r-oldrel (arm64):FLASHMM_1.2.3.tgz, r-release (x86_64):FLASHMM_1.2.3.tgz, r-oldrel (x86_64):FLASHMM_1.2.3.tgz
Old sources: FLASHMM archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=FLASHMMto link to this page.


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