Package: scNPM
Type: Package
Title: Single-Cell Network Propensity Matching
Version: 1.1.0
Date: 2026-10-18
Authors@R: c(
    person(
      given = "Tao",
      family = "Liu",
      email = "25210690190@m.fudan.edu.cn",
      role = c("aut", "cre")
    )
  )
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
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)
SystemRequirements: C++17, OpenMP
Depends: R (>= 4.0.0)
URL: https://github.com/taostat1/scNPM_R_package
BugReports: https://github.com/taostat1/scNPM_R_package/issues
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Config/pak/sysreqs: cmake libglpk-dev libxml2-dev
Repository: https://taostat1.r-universe.dev
Date/Publication: 2026-10-18 10:06:58 UTC
RemoteUrl: https://github.com/taostat1/scnpm_r_package
RemoteRef: HEAD
RemoteSha: 50422755d92ef25c3f9a3c7bf4ced39b21d98271
Packaged: 2026-10-18 11:34:54 UTC; root
Author: Tao Liu [aut, cre]
Maintainer: Tao Liu <25210690190@m.fudan.edu.cn>