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)
Roxygen: list(markdown = TRUE)
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)
Config/pak/sysreqs: libpng-dev python3
Repository: https://akai01.r-universe.dev
Date/Publication: 2022-08-04 19:11:25 UTC
RemoteUrl: https://github.com/akai01/ngboostforecast
RemoteRef: HEAD
RemoteSha: 08c92edd3ce5b7153b8ca7de253cba30d6056d98
NeedsCompilation: no
Packaged: 2026-10-05 08:30:48 UTC; root
Author: Resul Akay [aut, cre]
Maintainer: Resul Akay <resulakay1@gmail.com>