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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 |
DOI: | 10.32614/CRAN.package.tsutils |
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, ICompELM, nnfor, TSdeeplearning, TSLSTM, TSLSTMplus, WaveletRF, WaveletSVR |
Please use the canonical form https://CRAN.R-project.org/package=tsutils to link to this page.
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.