{ "_id": "6a1f0c95b401979e7341cd79", "Package": "inphr", "Title": "Statistical Inference for Persistence Homology Data", "Version": "0.0.1", "Authors@R": "person(\"Aymeric\", \"Stamm\", , \"aymeric.stamm@cnrs.fr\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-8725-3654\"))", "Description": "A set of functions for performing null hypothesis testing\non samples of persistence diagrams using the theory of\npermutations. Currently, only two-sample testing is\nimplemented. Inputs can be either samples of persistence\ndiagrams themselves or vectorizations. In the former case, they\nare embedded in a metric space using either the Bottleneck or\nWasserstein distance. In the former case, persistence data\nbecomes functional data and inference is performed using tools\navailable in the 'fdatest' package. Main reference for the\ninterval-wise testing method: Pini A., Vantini S. (2017)\n\"Interval-wise testing for functional data\"\n. Main reference for\ninference on populations of networks: Lovato, I., Pini, A.,\nStamm, A., & Vantini, S. (2020) \"Model-free two-sample test for\nnetwork-valued data\" .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "URL": "https://github.com/tdaverse/inphr,\nhttps://tdaverse.github.io/inphr/", "BugReports": "https://github.com/tdaverse/inphr/issues", "LazyData": "true", "Config/pak/sysreqs": "cmake git make libgit2-dev libuv1-dev libssl-dev\nlibx11-dev", "Repository": "https://tdaverse.r-universe.dev", "Date/Publication": "2025-08-26 15:15:07 UTC", "RemoteUrl": "https://github.com/tdaverse/inphr", "RemoteRef": "HEAD", "RemoteSha": "98b6a3e6a0d7a828106627a118498ca14fef57e1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-17 09:24:19 UTC", "User": "root" }, "Author": "Aymeric Stamm [aut, cre] (ORCID:\n)", "Maintainer": "Aymeric Stamm ", "MD5sum": "5f39bfdddff4db8cbc5bd4a4960dd5b0", "_user": "tdaverse", "_type": "src", "_file": "inphr_0.0.1.tar.gz", "_fileid": 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