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
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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        zlib1g-dev
Repository: https://vivienroussez.r-universe.dev
Date/Publication: 2020-06-05 12:31:14 UTC
RemoteUrl: https://github.com/vivienroussez/autots
RemoteRef: HEAD
RemoteSha: b457c022154753b1b8eeb531c2d8db46ae06cd1c
NeedsCompilation: no
Packaged: 2026-10-18 09:24:20 UTC; root