{ "_id": "6a100ef5acfb0bcc41c8155a", "Package": "netsubsamp", "Type": "Package", "Title": "Multivariate Inference of Network Moments by Subsampling", "Version": "1.0.0", "Authors@R": "c(\nperson(\"Mingyu\", \"Qi\", role = \"aut\"),\nperson(\"Chen-Wei\", \"Hua\", role = \"aut\"),\nperson(\"Tianxi\", \"Li\", email = \"tianxili@umn.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Wen\", \"Zhou\", role = \"aut\"))", "Description": "Implements node subsampling methods for multivariate\ninference on network moments (rescaled motif counts),\nincluding: uniform node subsampling to approximate the joint\ndistribution of multiple network moments (Algorithm 1);\nexternally sparsified moments for density-matched comparisons\n(Algorithm 2); and a two-sample test for unmatchable networks\nwith unequal edge densities via a split-and-sparsify\nsubsampling procedure (Algorithm 3). Built-in support for\nV-shape (2-star), triangle, and 3-star motifs, with a\nuser-extensible interface for arbitrary additional motifs.\nParallel execution is supported via 'doParallel' and 'foreach'.\nBased on Qi, Hua, Li and Zhou (2024)\n.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.1", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-22 08:05:18 UTC", "User": "root" }, "Author": "Mingyu Qi [aut], Chen-Wei Hua [aut], Tianxi Li [aut, cre], Wen\nZhou [aut]", "Maintainer": "Tianxi Li ", "Repository": "https://tianxili.r-universe.dev", "Date/Publication": "2026-04-21 19:42:33 UTC", "RemoteUrl": "https://github.com/cran/netsubsamp", "RemoteRef": "HEAD", "RemoteSha": "020fd15eb731ad082ac78b3e1414d71f1ef8808c", "MD5sum": "4ade39a14d08984a4fe7487e67bd9bf8", "_user": "tianxili", "_type": "src", "_file": "netsubsamp_1.0.0.tar.gz", "_fileid": "8256bfe84a45843491bef3c3c7f4ad9c48bc071dd0593893419131fbb9fc27f6", "_filesize": 215048, 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