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: | 1.0.0 |
| Imports: | stats, MASS, Matrix |
| Suggests: | knitr, bookdown, rmarkdown, devtools, SingleCellExperiment, ExperimentHub |
| Published: | 2025-01-14 |
| DOI: | 10.32614/CRAN.package.FLASHMM |
| Author: | Changjiang Xu [aut, cre], Gary Bader [aut] |
| Maintainer: | Changjiang Xu <changjiang.xu at utoronto.ca> |
| BugReports: | https://github.com/BaderLab/FLASHMM/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/BaderLab/FLASHMM |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | FLASHMM results |
| Reference manual: | FLASHMM.pdf |
| Vignettes: |
Single-cell differential expression analysis with FLASHMM (source, R code) |
| Package source: | FLASHMM_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): FLASHMM_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): FLASHMM_1.0.0.tgz, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=FLASHMM to link to this page.