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autoTS
View on CRAN: Click
here
Download and install autoTS package within the R console
Install from CRAN:
install.packages("autoTS")
Install from Github:
library("remotes")
install_github("cran/autoTS")
Install by package version:
library("remotes")
install_version("autoTS", "0.9.11")
Attach the package and use:
library("autoTS")
Maintained by
Vivien Roussez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-02
Latest Update: 2020-06-05
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.
How to cite:
Vivien Roussez (2020). autoTS: Automatic Model Selection and Prediction for Univariate Time Series. R package version 0.9.11, https://cran.r-project.org/web/packages/autoTS
Previous versions and publish date:
0.9.1 (2020-06-02 14:40)
Other packages that cited autoTS R package
View autoTS citation profile
Other R packages that autoTS depends,
imports, suggests or enhances
Functions, R codes and Examples using
the autoTS R package
Some associated functions: complete.ts . getBestModel . getFrequency . my.bats . my.ets . my.mae . my.predictions . my.prophet . my.rmse . my.sarima . my.shortterm . my.stlm . my.tbats . prepare.ts . runUserInterface .
Some associated R codes: Interface.R . algos.R . error_metrics.R . predictions.R . prepare_ts.R . Full autoTS package functions and examples
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