{ "_id": "6abe323999f7aa8c6aa538c8", "Package": "qch", "Title": "Query Composite Hypotheses", "Version": "2.1.3", "Authors@R": "c(\nperson(\"Tristan\", \"Mary-Huard\", , \"tristan.mary-huard@agroparistech.fr\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3839-9067\")),\nperson(\"Annaig\", \"De Walsche\", , \"annaig.de-walsche@inrae.fr\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-0603-1716\")),\nperson(\"Franck\", \"Gauthier\", , \"franck.gauthier@inrae.fr\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-0574-065X\"))\n)", "Author": "Tristan Mary-Huard [aut, cre] (ORCID:\n), Annaig De Walsche\n[aut] (ORCID: ), Franck\nGauthier [ctb] (ORCID: )", "Maintainer": "Tristan Mary-Huard ", "Description": "Provides functions for the joint analysis of Q sets of\np-values obtained for the same list of items. This joint\nanalysis is performed by querying a composite hypothesis, i.e.\nan arbitrary complex combination of simple hypotheses, as\ndescribed in Mary-Huard et al. (2021)\n and De Walsche et\nal.(2025) . In this approach, the\nQ-uplet of p-values associated with each item is distributed as\na multivariate mixture, where each of the 2^Q components\ncorresponds to a specific combination of simple hypotheses. The\ndependence between the p-value series is considered using a\nGaussian copula function. 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