{ "_id": "6a1d38e81d7bb097a0a3e17d", "Package": "TSrepr", "Type": "Package", "Title": "Time Series Representations", "Version": "1.1.0", "Date": "2020-07-12", "Authors@R": "person(\"Peter\", \"Laurinec\", email = \"tsreprpackage@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3501-8783\"))", "Description": "Methods for representations (i.e. dimensionality\nreduction, preprocessing, feature extraction) of time series to\nhelp more accurate and effective time series data mining.\nNon-data adaptive, data adaptive, model-based and data dictated\n(clipped) representation methods are implemented. Also various\nnormalisation methods (min-max, z-score, Box-Cox, Yeo-Johnson),\nand forecasting accuracy measures are implemented.", "License": "GPL-3 | file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.0", "URL": "https://petolau.github.io/package/,\nhttps://github.com/PetoLau/TSrepr/", "BugReports": "https://github.com/PetoLau/TSrepr/issues", "VignetteBuilder": "knitr", "Repository": "https://petolau.r-universe.dev", "Date/Publication": "2020-07-12 17:51:29 UTC", "RemoteUrl": "https://github.com/petolau/tsrepr", "RemoteRef": "HEAD", "RemoteSha": "1dd7ea8064b0347f0e9097ee6014d8395973eeef", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-01 07:38:14 UTC", "User": "root" }, "Author": "Peter Laurinec [aut, cre] (ORCID:\n)", "Maintainer": "Peter Laurinec ", "MD5sum": "11f261700987e96b112bcbb6461fe2a3", "_user": "petolau", "_type": "src", "_file": "TSrepr_1.1.0.tar.gz", "_fileid": "8507d15ef5291c15debc5046a7807a636d635cef943625b67867f96d0e44c309", 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