{ "_id": "6a1ee13cb401979e73410991", "Package": "peacots", "Type": "Package", "Title": "Periodogram Peaks in Correlated Time Series", "Version": "1.3.2", "Date": "2024-04-28", "Authors@R": "c(person(\"Stilianos\", \"Louca\", role = c(\"aut\", \"cre\",\"cph\"), email=\"louca.research@gmail.com\"))", "Description": "Calculates the periodogram of a time series,\nmaximum-likelihood fits an Ornstein-Uhlenbeck state space\n(OUSS) null model and evaluates the statistical significance of\nperiodogram peaks against the OUSS null hypothesis. The OUSS is\na parsimonious model for stochastically fluctuating variables\nwith linear stabilizing forces, subject to uncorrelated\nmeasurement errors. Contrary to the classical white noise null\nmodel for detecting cyclicity, the OUSS model can account for\ntemporal correlations typically occurring in ecological and\ngeological time series. 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