{ "_id": "6ac8ece7de46216d5edd9377", "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. 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