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Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data

v1.5.6 · Dec 6, 2025 · GPL-3

Description

A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.

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NOTE r-oldrel-macos-arm64

installed package size

installed size is 29.4Mb
  sub-directories of 1Mb or more:
    libs  27.8Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 31.0Mb
  sub-directories of 1Mb or more:
    libs  29.3Mb

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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 29.4Mb
  sub-directories of 1Mb or more:
    libs  27.8Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 31.0Mb
  sub-directories of 1Mb or more:
    libs  29.3Mb

Dependency Network

Dependencies Reverse dependencies Rcpp nloptr Matrix Rfast trust parallelly doFuture future (>= 1.32.0) foreach doRNG Seurat SingleCellExperiment nebula

Version History

new 1.5.6 Mar 10, 2026
updated 1.5.6 ← 1.5.3 diff Dec 6, 2025
updated 1.5.3 ← 1.4.2 diff Feb 15, 2024
updated 1.4.2 ← 1.2.2 diff Jul 5, 2023
updated 1.2.2 ← 1.2.0 diff Jan 17, 2023
new 1.2.0 Jan 20, 2022