{ "_id": "6ace8f74f6f39cd7e29a157f", "Package": "smoots", "Type": "Package", "Title": "Nonparametric Estimation of the Trend and Its Derivatives in TS", "Version": "1.1.5", "Description": "The nonparametric trend and its derivatives in equidistant\ntime series (TS) with short-memory stationary errors can be\nestimated. The estimation is conducted via local polynomial\nregression using an automatically selected bandwidth obtained\nby a built-in iterative plug-in algorithm or a bandwidth fixed\nby the user. A Nadaraya-Watson kernel smoother is also built-in\nas a comparison. With version 1.1.0, a linearity test for the\ntrend function, forecasting methods and backtesting approaches\nare implemented as well. The smoothing methods of the package\nare described in Feng, Y., Gries, T., and Fritz, M. (2020)\n. The software itself is\nintroduced in Feng, Y., Gries, T., Letmathe, S., and Schulz, D.\n(2022) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Authors@R": "c(person(given = \"Yuanhua\",\nfamily = \"Feng\",\nrole = \"aut\",\ncomment = \"Paderborn University, Germany\"),\nperson(given = \"Sebastian\",\nfamily = \"Letmathe\",\nrole = \"aut\",\ncomment = \"formerly Paderborn University, Germany\"),\nperson(given = \"Dominik\",\nfamily = \"Schulz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"dominik.schulz.r@gmail.com\",\ncomment = \"formerly Paderborn University, Germany\"),\nperson(given = \"Thomas\",\nfamily = \"Gries\",\nrole = \"ctb\",\ncomment = \"Paderborn University, Germany\"),\nperson(given = \"Marlon\",\nfamily = \"Fritz\",\nrole = \"ctb\",\ncomment = \"formerly Paderborn University, Germany\"))", "Acknowledgments": "This work was supported by the German DFG project\nGZ-FE-1500-2-1.", "Config/testthat/edition": "3", "Config/roxygen2/version": "8.1.0", 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