DESCRIPTION

Package: forecastML
Type: Package
Title: Time Series Forecasting with Linear Regression and Machine Learing Methods
Version: 0.1.0.9000
Author: Rami Krispin
Authors@R: person("Rami", "Krispin", email = "rami.krispin@gmail.com",
  role = c("aut", "cre"))
Maintainer: Rami Krispin <rami.krispin@gmail.com>
Description: Using linear regression and machine learning models to forecast complex time series data (multiple seasonality, regressor, etc.)
License: MIT
Encoding: UTF-8
LazyData: true
Depends:
  R (>= 3.0.2)
Imports:
  dplyr(>= 0.8.1),
  h2o(>= 3.26.0.2),
  lubridate (>= 1.6.0),
  magrittr (>= 1.5),
  plotly (>= 4.9),
  purrr (>= 0.3.2),
  tsibble(>= 0.8.5)
Suggests:
    knitr,
    rmarkdown,
    remotes
VignetteBuilder: knitr
RoxygenNote: 6.1.1
URL: https://github.com/RamiKrispin/forecastML
BugReports: https://github.com/RamiKrispin/forecastML/issues