{ "_id": "6a1ea77ab25058d4daad8f0b", "Package": "epiphy", "Type": "Package", "Title": "Analysis of Plant Disease Epidemics", "Version": "0.5.0.9000", "Authors@R": "c(\nperson(\"Christophe\", \"Gigot\", email = \"ch.gigot@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0002-1748-2902\")),\nperson(\"Adam H.\", \"Sparks\", role = \"ctb\"),\nperson(\"Katrin\", \"Leinweber\", role = \"ctb\")\n)", "Description": "A toolbox to make it easy to analyze plant disease\nepidemics. It provides a common framework for plant disease\nintensity data recorded over time and/or space. Implemented\nstatistical methods are currently mainly focused on spatial\npattern analysis (e.g., aggregation indices, Taylor and binary\npower laws, distribution fitting, SADIE and 'mapcomp' methods).\nSee Laurence V. Madden, Gareth Hughes, Franck van den Bosch\n(2007) for further information on\nthese methods. 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