netsubsamp: Multivariate Inference of Network Moments by Subsampling

Implements node subsampling methods for multivariate inference on network moments (rescaled motif counts), including: uniform node subsampling to approximate the joint distribution of multiple network moments (Algorithm 1); externally sparsified moments for density-matched comparisons (Algorithm 2); and a two-sample test for unmatchable networks with unequal edge densities via a split-and-sparsify subsampling procedure (Algorithm 3). Built-in support for V-shape (2-star), triangle, and 3-star motifs, with a user-extensible interface for arbitrary additional motifs. Parallel execution is supported via 'doParallel' and 'foreach'. Based on Qi, Hua, Li and Zhou (2024) <doi:10.48550/arXiv.2409.01599>.

Version: 1.0.0
Imports: foreach, doParallel, parallel, stats
Suggests: Matrix, randnet, testthat (≥ 3.0.0)
Published: 2026-04-21
DOI: 10.32614/CRAN.package.netsubsamp (may not be active yet)
Author: Mingyu Qi [aut], Chen-Wei Hua [aut], Tianxi Li [aut, cre], Wen Zhou [aut]
Maintainer: Tianxi Li <tianxili at umn.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: netsubsamp results

Documentation:

Reference manual: netsubsamp.html , netsubsamp.pdf

Downloads:

Package source: netsubsamp_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: netsubsamp_1.0.0.zip, r-oldrel: netsubsamp_1.0.0.zip
macOS binaries: r-release (arm64): netsubsamp_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): netsubsamp_1.0.0.tgz, r-oldrel (x86_64): netsubsamp_1.0.0.tgz

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