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: not available |
macOS binaries: | r-release: OOS_1.0.0.tgz, r-oldrel: not available |
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