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Makes the time series prediction easier by automatizing this process using four main functions: prep(), modl(), pred() and postp(). Features different preprocessing methods to homogenize variance and to remove trend and seasonality. Also has the potential to bring together different predictive models to make comparatives. Features ARIMA and Data Mining Regression models (using caret).
| Version: | 0.1.1 |
| Imports: | caret, forecast, graphics, methods, Metrics, stats, TSPred, tseries, utils |
| Published: | 2018-04-29 |
| DOI: | 10.32614/CRAN.package.predtoolsTS |
| Author: | Alberto Vico Moreno [aut, cre], Antonio Jesus Rivera Rivas [aut, ths], Maria Dolores Perez Godoy [aut, ths] |
| Maintainer: | Alberto Vico Moreno <avm00016 at red.ujaen.es> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/avm00016/predtoolsTS |
| NeedsCompilation: | no |
| CRAN checks: | predtoolsTS results |
| Reference manual: | predtoolsTS.pdf |
| Package source: | predtoolsTS_0.1.1.tar.gz |
| Windows binaries: | r-devel: predtoolsTS_0.1.1.zip, r-release: predtoolsTS_0.1.1.zip, r-oldrel: predtoolsTS_0.1.1.zip |
| macOS binaries: | r-release (arm64): predtoolsTS_0.1.1.tgz, r-oldrel (arm64): predtoolsTS_0.1.1.tgz, r-release (x86_64): predtoolsTS_0.1.1.tgz, r-oldrel (x86_64): predtoolsTS_0.1.1.tgz |
| Old sources: | predtoolsTS archive |
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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.