DESCRIPTION

Package: caretForecast
Title: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Version: 0.1.1
Authors@R: 
    person(given = "Resul",
           family = "Akay",
           role = c("aut", "cre"),
           email = "resulakay1@gmail.com")
Description: Conformal time series forecasting using the caret infrastructure. 
  It provides access to state-of-the-art machine learning models for forecasting
  applications. The hyperparameter of each model is selected based on time 
  series cross-validation, and forecasting is done recursively.
License: GPL (>= 3)
URL: https://github.com/Akai01/caretForecast
BugReports: https://github.com/Akai01/caretForecast/issues
Depends: 
    R (>= 3.6)
Imports:
    forecast (>= 8.15),
    caret (>= 6.0.88),
    magrittr (>= 2.0.1),
    methods (>= 4.1.1),
    dplyr (>= 1.0.9),
    generics (>= 0.1.3)
Suggests: 
    Cubist (>= 0.3.0),
    knitr (>= 1.29),
    testthat (>= 2.3.2)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1