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Includes statistical evaluation metrics, such\nas Nash-Sutcliffe efficiency (NSE), root mean square error\n(RMSE), mean absolute error (MAE), and mean bias error (MBE),\nand visualization tools (scatter plots and Taylor diagrams).\nBased on Singh et al. (2026) .", "License": "GPL (>= 3)", "URL": "https://github.com/samirigfri/ET0TempModels", "BugReports": "https://github.com/samirigfri/ET0TempModels/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Repository": "https://samirigfri.r-universe.dev", "Date/Publication": "2026-09-28 11:16:27 UTC", "RemoteUrl": "https://github.com/samirigfri/et0tempmodels", "RemoteRef": "HEAD", "RemoteSha": "c02bd54a6bad61c60d42ef689095c6e167bdea6c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-08 11:46:19 UTC", "User": "root" }, "Author": "Ajay N. 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