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It is particularly suitable\nfor comparing time series with seasonality for environmental\nand ecological data analysis, covering domains such as remote\nsensing imagery, climate data, hydrology, and animal movement.\nThe 'twdtw' package offers a user-friendly 'R' interface,\nefficient 'Fortran' routines for TWDTW calculations, flexible\ntime weighting definitions, as well as utilities for time\nseries preprocessing and visualization.", "License": "GPL (>= 3)", "URL": "https://github.com/vwmaus/twdtw/", "BugReports": "https://github.com/vwmaus/twdtw/issues/", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Collate": "'RcppExports.R' 'convert_date_to_numeric.R' 'init.R'\n'plot_cost_matrix.R' 'twdtw.R' 'zzz.R'", "Config/testthat/edition": "3", "Repository": "https://vwmaus.r-universe.dev", "Date/Publication": "2023-12-26 13:10:02 UTC", "RemoteUrl": "https://github.com/vwmaus/twdtw", "RemoteRef": "HEAD", "RemoteSha": 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