{ "_id": "6a1edcacb401979e7340fdf2", "Package": "GRANDpriv", "Type": "Package", "Title": "Graph Release with Assured Node Differential Privacy", "Version": "0.1.3", "Authors@R": "c(person(given = \"Suqing\",\nfamily = \"Liu\",\nemail = \"liusuqing0123@uchicago.edu\",\nrole = c(\"aut\", \"cre\")),\nperson(given = \"Xuan\",\nfamily = \"Bi\",\nemail = \"xbi@umn.edu\",\nrole = \"aut\"),\nperson(given = \"Tianxi\",\nfamily = \"Li\",\nemail = \"tianxili@umn.edu\",\nrole = \"aut\"))", "Description": "Implements a novel method for privatizing network data\nusing differential privacy. Provides functions for generating\nsynthetic networks based on LSM (Latent Space Model), applying\ndifferential privacy to network latent positions to achieve\noverall network privatization, and evaluating the utility of\nprivatized networks through various network statistics. The\nprivatize and evaluate functions support both LSM and RDPG\n(Random Dot Product Graph). For generating RDPG networks, users\nare encouraged to use the 'randnet' package\n. For more details,\nsee the \"proposed method\" section of Liu, Bi, and Li (2025)\n.", "License": "GPL (>= 3)", "URL": "https://github.com/lsq0000/GRANDpriv", "BugReports": "https://github.com/lsq0000/GRANDpriv/issues", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake libglpk-dev make libgsl0-dev libicu-dev\nlibxml2-dev", "Repository": "https://lsq0000.r-universe.dev", "Date/Publication": "2025-08-23 04:05:33 UTC", "RemoteUrl": "https://github.com/lsq0000/grandpriv", "RemoteRef": "HEAD", "RemoteSha": "0daafe90007ecf698a94256f3416b721ee0a97c4", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 08:29:37 UTC", "User": "root" }, "Author": "Suqing Liu [aut, cre],\nXuan Bi [aut],\nTianxi Li [aut]", "Maintainer": "Suqing Liu ", "MD5sum": "69488ff50129f03cb4073e65f2132e8f", "_user": "lsq0000", "_type": "src", "_file": "GRANDpriv_0.1.3.tar.gz", "_fileid": "ec259e6904699b0adbef0fd28239157bf29dc4c715ff76935cf78facc1d97b01", "_filesize": 194715, "_sha256": 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