{ "_id": "6a1e968f1d7bb097a0a6c887", "Package": "nevada", "Type": "Package", "Title": "Network-Valued Data Analysis", "Version": "0.2.0", "Authors@R": "c( \nperson(given = \"Ilenia\",\nfamily = \"Lovato\",\nrole = \"aut\",\nemail = \"ilenia.lovato01@universitadipavia.it\"),\nperson(given = \"Alessia\",\nfamily = \"Pini\",\nrole = \"aut\",\nemail = \"alessia.pini@unicatt.it\"),\nperson(given = \"Aymeric\",\nfamily = \"Stamm\",\nrole = c(\"aut\", \"cre\"),\nemail = \"aymeric.stamm@cnrs.fr\",\ncomment = c(ORCID = \"0000-0002-8725-3654\")),\nperson(given = \"Simone\",\nfamily = \"Vantini\",\nrole = \"aut\",\nemail = \"simone.vantini@polimi.it\"))", "Description": "A flexible statistical framework for network-valued data\nanalysis. It leverages the complexity of the space of\ndistributions on graphs by using the permutation framework for\ninference as implemented in the 'flipr' package. Currently,\nonly the two-sample testing problem is covered and\ngeneralization to k samples and regression will be added in the\nfuture as well. It is a 4-step procedure where the user chooses\na suitable representation of the networks, a suitable metric to\nembed the representation into a metric space, one or more test\nstatistics to target specific aspects of the distributions to\nbe compared and a formula to compute the permutation p-value.\nTwo types of inference are provided: a global test answering\nwhether there is a difference between the distributions that\ngenerated the two samples and a local test for localizing\ndifferences on the network structure. The latter is assumed to\nbe shared by all networks of both samples. References: Lovato,\nI., Pini, A., Stamm, A., Vantini, S. (2020) \"Model-free\ntwo-sample test for network-valued data\"\n; Lovato, I., Pini, A., Stamm,\nA., Taquet, M., Vantini, S. (2021) \"Multiscale null hypothesis\ntesting for network-valued data: Analysis of brain networks of\npatients with autism\" .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "URL": "https://astamm.github.io/nevada/,\nhttps://github.com/astamm/nevada/", "BugReports": "https://github.com/astamm/nevada/issues/", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-02 08:34:08 UTC", "User": "root" }, "Author": "Ilenia Lovato [aut], Alessia Pini [aut], Aymeric Stamm [aut,\ncre] (), Simone Vantini\n[aut]", "Maintainer": "Aymeric Stamm ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-09-03 21:30:32 UTC", "RemoteUrl": "https://github.com/cran/nevada", "RemoteRef": "HEAD", "RemoteSha": "308e2ee20e27f48c29ee1adf16a5a7836866aaa7", "MD5sum": "57a4a9e1aa71c26a18cb5334eb7e128a", "_user": "cran", "_type": "src", "_file": "nevada_0.2.0.tar.gz", "_fileid": 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