{ "_id": "6a18025cacfb0bcc41dac2cb", "Package": "actfts", "Type": "Package", "Title": "Autocorrelation Tools Featured for Time Series", "Version": "0.3.0", "Authors@R": "c(\nperson(given = \"David\",\nfamily = \"Rodríguez\",\nrole = c(\"aut\",\"cph\"),\nemail = \"davestss@hotmail.com\",\ncomment = c(ORCID = \"0000-0001-5430-0787\")),\nperson(given = \"Sergio\",\nfamily = \"Sierra\",\nrole = c(\"aut\",\"cre\"),\nemail = \"sergiochess95@gmail.com\",\ncomment = c(ORCID = \"0000-0003-4055-8810\")))", "Maintainer": "Sergio Sierra ", "Description": "The 'actfts' package provides tools for performing\nautocorrelation analysis of time series data. It includes\nfunctions to compute and visualize the autocorrelation function\n(ACF) and the partial autocorrelation function (PACF).\nAdditionally, it performs the Dickey-Fuller, KPSS, and\nPhillips-Perron unit root tests to assess the stationarity of\ntime series. Theoretical foundations are based on Box and Cox\n(1964) , Box and\nJenkins (1976) , and Box and Pierce\n(1970) . Statistical\nmethods are also drawn from Kolmogorov (1933)\n, Kwiatkowski et al. (1992)\n, and Ljung and Box (1978)\n. The package integrates functions\nfrom 'forecast' (Hyndman & Khandakar, 2008)\n, 'tseries'\n(Trapletti & Hornik, 2020)\n, 'xts' (Ryan &\nUlrich, 2020) , and\n'stats' (R Core Team, 2023)\n.\nAdditionally, it provides visualization tools via 'plotly'\n(Sievert, 2020) and\n'reactable' (Glaz, 2023)\n. The package\nalso incorporates macroeconomic datasets from the U.S. Bureau\nof Economic Analysis: Disposable Personal Income (DPI)\n, Gross Domestic\nProduct (GDP) , and\nPersonal Consumption Expenditures (PCEC)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "URL": "https://github.com/SergioFinances/actfts,\nhttps://sergiofinances.github.io/actfts/", "BugReports": "https://github.com/SergioFinances/actfts/issues", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://sergiofinances.r-universe.dev", "Date/Publication": "2025-03-04 18:21:36 UTC", "RemoteUrl": "https://github.com/sergiofinances/actfts", "RemoteRef": "HEAD", "RemoteSha": "665ee138a3f610d8b91c24553aea012afb0e16e6", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 08:49:07 UTC", "User": "root" }, "Author": "David Rodríguez 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