{ "_id": "6a1ef333b401979e7341514d", "Package": "registr", "Title": "Curve Registration for Exponential Family Functional Data", "Version": "2.2.1", "Authors@R": "c(\nperson(\"Julia\", \"Wrobel\", role = c(\"aut\", \"cre\"),\nemail = \"julia.wrobel@emory.edu\",\ncomment = c(ORCID = \"0000-0001-6783-1421\")),\nperson(\"Alexander\", \"Bauer\", role = \"aut\", email = \"alexander.bauer@stat.uni-muenchen.de\"),\nperson(\"Erin\", \"McDonnell\", role = \"aut\", email = \"eim2117@cumc.columbia.edu\"),\nperson(\"Fabian\", \"Scheipl\", role = \"ctb\", email = \"fabian.scheipl@lmu.de\"),\nperson(\"Jeff\", \"Goldsmith\", role = \"aut\", email = \"jeff.goldsmith@columbia.edu\")\n)", "Description": "A method for performing joint registration and functional\nprincipal component analysis for curves (functional data) that\nare generated from exponential family distributions. This\nmainly implements the algorithms described in 'Wrobel et al.\n(2019)' and further adapts them to\npotentially incomplete curves where (some) curves are not\nobserved from the beginning and/or until the end of the common\ndomain. Curve registration can be used to better understand\npatterns in functional data by separating curves into phase and\namplitude variability. 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