scNPM: Single-Cell Network Propensity Matching

Estimates and compares heterogeneous gene conditional-dependence networks from single-cell expression data. A latent Gaussian mixture and probit observation mechanism represent cellular heterogeneity and zero observations. Protein interaction information supplies edge-specific prior weights, while network propensity matching links cell clusters across conditions and guides adaptation. Staged inference fixes correspondence after adaptation, disables adaptation feedback, and jointly models matched network edges with a four-state spike-and-slab prior for posterior group and directional differential edge selection. Functions assess balance, record criterion diagnostics, and visualize within-condition and differential networks.

Version:	1.1.0
Depends:	R (≥ 4.0.0)
Imports:	Rcpp (≥ 1.0.10), Matrix, igraph (≥ 1.3.0), ggplot2 (≥ 3.3.0), ggrepel (≥ 0.9.0), scales (≥ 1.2.0), stats, utils, tools
LinkingTo:	Rcpp, RcppArmadillo (≥ 0.12.6.4.0), RcppParallel (≥ 5.1.7)
Suggests:	testthat (≥ 3.0.0)
Published:	2026-10-19
DOI:	10.32614/CRAN.package.scNPM
Author:	Tao Liu [aut, cre]
Maintainer:	Tao Liu <25210690190 at m.fudan.edu.cn>
BugReports:	https://github.com/taostat1/scNPM_R_package/issues
License:	GPL (≥ 3)
URL:	https://github.com/taostat1/scNPM_R_package
NeedsCompilation:	yes
SystemRequirements:	C++17, OpenMP
Materials:	README, NEWS
CRAN checks:	scNPM results

Documentation:

Reference manual:

scNPM.html , scNPM.pdf

Downloads:

Package source:	scNPM_1.1.0.tar.gz
Windows binaries:	r-devel: scNPM_1.1.0.zip, r-release: scNPM_1.1.0.zip, r-oldrel: scNPM_1.1.0.zip
macOS binaries:	r-release (arm64): scNPM_1.1.0.tgz, r-oldrel (arm64): scNPM_1.1.0.tgz, r-release (x86_64): scNPM_1.1.0.tgz, r-oldrel (x86_64): scNPM_1.1.0.tgz
Old sources:	scNPM archive

Linking:

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