A comprehensive and cohesive API for the out-of-sample forecasting workflow: data preparation, forecasting - including both traditional econometric time series models and modern machine learning techniques - forecast combination, model and error analysis, and forecast visualization.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | caret, dplyr, forecast, furrr, future, ggplot2, glmnet, imputeTS, lmtest, lubridate, magrittr, purrr, sandwich, stats, tidyr, vars, xts, zoo |
| Suggests: | knitr, testthat, rmarkdown, quantmod |
| Published: | 2021-03-17 |
| Author: | Tyler J. Pike [aut, cre] |
| Maintainer: | Tyler J. Pike <tjpike7 at gmail.com> |
| BugReports: | https://github.com/tylerJPike/OOS/issues |
| License: | GPL-3 |
| URL: | https://github.com/tylerJPike/OOS, https://tylerjpike.github.io/OOS/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | OOS results |
| Reference manual: | OOS.pdf |
| Vignettes: |
Window functions |
| Package source: | OOS_1.0.0.tar.gz |
| Windows binaries: | r-devel: OOS_1.0.0.zip, r-release: OOS_1.0.0.zip, r-oldrel: OOS_1.0.0.zip |
| macOS binaries: | r-release (arm64): OOS_1.0.0.tgz, r-release (x86_64): OOS_1.0.0.tgz, r-oldrel: OOS_1.0.0.tgz |
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