{ "_id": "6a23babd530b9bc726bd92cc", "Package": "detectR", "Type": "Package", "Title": "Change Point Detection", "Version": "0.3.0", "Authors@R": "c(\nperson(\"Changryong\", \"Baek\", , \"crbaek@skku.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Mattew\", \"Gampe\", role = \"aut\"),\nperson(\"Kathleen M.\", \"Gates\", role = \"aut\"),\nperson(\"Seok-Oh\", \"Jeong\", role = \"aut\"),\nperson(\"Vladas\", \"Pipiras\", role = \"aut\")\n)", "Maintainer": "Changryong Baek ", "Description": "Time series analysis of network connectivity. Detects and\nvisualizes change points between networks. Methods included in\nthe package are discussed in depth in Baek, C., Gates, K. M.,\nLeinwand, B., Pipiras, V. (2021) \"Two sample tests for\nhigh-dimensional auto-covariances\"\n and Baek, C., Gampe, M.,\nLeinwand B., Lindquist K., Hopfinger J. and Gates K. 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