Package: ngboostForecast
Title: Probabilistic Time Series Forecasting
Version: 0.1.1
Authors@R: 
    person(given = "Resul",
           family = "Akay",
           role = c("aut", "cre"),
           email = "resulakay1@gmail.com")
Description: Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.
License: Apache License (>= 2)
URL: https://github.com/Akai01/ngboostForecast
BugReports: https://github.com/Akai01/ngboostForecast/issues
Encoding: UTF-8
LazyData: true
SystemRequirements: Python (>= 3.6)
RoxygenNote: 7.2.0
Imports: dplyr (>= 1.0.7), forecast (>= 8.15), magrittr (>= 2.0.1), R6
        (>= 2.5.1)
Suggests: ggplot2 (>= 3.3.5), testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/reticulate: list( packages = list( list(package =
        'importlib-metadata', pip = TRUE), list(package = 'ngboost',
        pip = TRUE)) )
Depends: R (>= 3.6), reticulate (>= 1.20)
NeedsCompilation: no
Packaged: 2022-08-06 10:57:52 UTC; akayr
Author: Resul Akay [aut, cre]
Maintainer: Resul Akay <resulakay1@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-06 11:30:08 UTC
Built: R 4.6.0; ; 2026-04-25 20:39:16 UTC; unix
