Package: autoTS
Type: Package
Title: Automatic Model Selection and Prediction for Univariate Time
        Series
Version: 0.9.11
Author: Vivien Roussez
Maintainer: Vivien Roussez <vivien.roussez@gmail.com>
Description: Offers a set of functions to easily make predictions for univariate time series. 
             'autoTS' is a wrapper of existing functions of the 'forecast' and 'prophet' packages, 
             harmonising their outputs in tidy dataframes and using default values for each.
             The core function getBestModel() allows the user to effortlessly benchmark seven 
             algorithms along with a bagged estimator to identify which one performs the best 
             for a given time series.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: rlang, prophet, dplyr, magrittr, lubridate, tidyr, forecast,
        ggplot2, RcppRoll,shiny, shinycssloaders, plotly
BugReports: https://github.com/vivienroussez/autots/issues
URL: https://github.com/vivienroussez/autoTS
Suggests: knitr,rmarkdown,stringr
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-05 11:47:28 UTC; vivienroussez
Repository: CRAN
Date/Publication: 2020-06-05 12:20:06 UTC
Built: R 4.6.0; ; 2026-04-26 01:37:51 UTC; unix
