Package: OOS
Title: Out-of-Sample Time Series Forecasting
Version: 1.0.0
Authors@R: 
    person(given = "Tyler J.",
           family = "Pike",
           role = c("aut", "cre"),
           email = "tjpike7@gmail.com")
Description: 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. 
License: GPL-3
URL: https://github.com/tylerJPike/OOS,
        https://tylerjpike.github.io/OOS/
BugReports: https://github.com/tylerJPike/OOS/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
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
NeedsCompilation: no
Packaged: 2021-03-15 12:01:58 UTC; tjpik
Author: Tyler J. Pike [aut, cre]
Maintainer: Tyler J. Pike <tjpike7@gmail.com>
Repository: CRAN
Date/Publication: 2021-03-17 13:20:20 UTC
Built: R 4.2.0; ; 2022-04-13 22:21:29 UTC; unix
