Multivariate Inference of Network Moments by Subsampling R package netsubsamp version 1.0.0 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>. Software Imports: foreach, doParallel, parallel, stats Suggests: Matrix, randnet, testthat (>= 3.0.0) Tianxi Li <tianxili@umn.edu> Comprehensive R Archive Network (CRAN) Mingyu Qi [aut], Chen-Wei Hua [aut], Tianxi Li [aut, cre], Wen Zhou [aut] GPL-3 2026-04-21 application/tgz https://CRAN.R-project.org/package=netsubsamp doi:10.32614/CRAN.package.netsubsamp