The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
| Version: | 5.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | forecast, KFAS, stats, MuMIn, EMD, wavelets, vars, ModelMetrics, RSNNS, Rlibeemd, e1071, elmNNRcpp, nnet, randomForest, magrittr, plyr, methods, dplyr, keras, tfdatasets |
| Published: | 2021-01-21 |
| DOI: | 10.32614/CRAN.package.TSPred |
| Author: | Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ), Eduardo Ogasawara [ths] (CEFET/RJ) |
| Maintainer: | Rebecca Pontes Salles <rebeccapsalles at acm.org> |
| BugReports: | https://github.com/RebeccaSalles/TSPred/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/RebeccaSalles/TSPred/wiki |
| NeedsCompilation: | no |
| Citation: | TSPred citation info |
| CRAN checks: | TSPred results |
| Reference manual: | TSPred.pdf |
| Package source: | TSPred_5.1.tar.gz |
| Windows binaries: | r-devel: TSPred_5.1.zip, r-release: TSPred_5.1.zip, r-oldrel: TSPred_5.1.zip |
| macOS binaries: | r-release (arm64): TSPred_5.1.tgz, r-oldrel (arm64): TSPred_5.1.tgz, r-release (x86_64): TSPred_5.1.tgz, r-oldrel (x86_64): TSPred_5.1.tgz |
| Old sources: | TSPred archive |
| Reverse imports: | predtoolsTS |
Please use the canonical form https://CRAN.R-project.org/package=TSPred 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.