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Includes: (i) tests and visualisations that can help the modeller explore time series components and perform decomposition; (ii) modelling shortcuts, such as functions to construct lagmatrices and seasonal dummy variables of various forms; (iii) an implementation of the Theta method; (iv) tools to facilitate the design of the forecasting process, such as ABC-XYZ analyses; and (v) "quality of life" functions, such as treating time series for trailing and leading values.
| Version: | 0.9.4 |
| Imports: | RColorBrewer, forecast, MAPA, plotrix |
| Suggests: | thief |
| Published: | 2023-11-15 |
| Author: | Nikolaos Kourentzes [aut, cre], Ivan Svetunkov [ctb], Oliver Schaer [ctb] |
| Maintainer: | Nikolaos Kourentzes <nikolaos at kourentzes.com> |
| License: | GPL-3 |
| URL: | https://github.com/trnnick/tsutils/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | tsutils results |
| Reference manual: | tsutils.pdf |
| Package source: | tsutils_0.9.4.tar.gz |
| Windows binaries: | r-devel: tsutils_0.9.4.zip, r-release: tsutils_0.9.4.zip, r-oldrel: tsutils_0.9.4.zip |
| macOS binaries: | r-release (arm64): tsutils_0.9.4.tgz, r-oldrel (arm64): tsutils_0.9.4.tgz, r-release (x86_64): tsutils_0.9.4.tgz, r-oldrel (x86_64): tsutils_0.9.4.tgz |
| Old sources: | tsutils archive |
| Reverse imports: | decompDL, EEMDlstm, nnfor, OptiSembleForecasting, TSdeeplearning, TSLSTM, TSLSTMplus, WaveletRF, WaveletSVR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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