https://github.com/cran/forecast
Revision c5f111e342571a2e2b0428c2bf894bae95719a0c authored by Rob Hyndman on 21 June 2018, 12:59:21 UTC, committed by cran-robot on 21 June 2018, 12:59:21 UTC
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Tip revision: c5f111e342571a2e2b0428c2bf894bae95719a0c authored by Rob Hyndman on 21 June 2018, 12:59:21 UTC
version 8.4
version 8.4
Tip revision: c5f111e
README.md
forecast <img src="man/figures/logo.png" align="right" />
======================
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[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/forecast)](https://cran.r-project.org/package=forecast)
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The R package *forecast* provides methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
## Installation
You can install the **stable** version from
[CRAN](https://cran.r-project.org/package=forecast).
```s
install.packages('forecast', dependencies = TRUE)
```
You can install the **development** version from
[Github](https://github.com/robjhyndman/forecast)
```s
# install.packages("devtools")
devtools::install_github("robjhyndman/forecast")
```
## Usage
```s
library(forecast)
library(ggplot2)
# ETS forecasts
USAccDeaths %>%
ets() %>%
forecast() %>%
autoplot()
# Automatic ARIMA forecasts
WWWusage %>%
auto.arima() %>%
forecast(h=20) %>%
autoplot()
# ARFIMA forecasts
library(fracdiff)
x <- fracdiff.sim( 100, ma=-.4, d=.3)$series
arfima(x) %>%
forecast(h=30) %>%
autoplot()
# Forecasting with STL
USAccDeaths %>%
stlm(modelfunction=ar) %>%
forecast(h=36) %>%
autoplot()
AirPassengers %>%
stlf(lambda=0) %>%
autoplot()
USAccDeaths %>%
stl(s.window='periodic') %>%
forecast() %>%
autoplot()
# TBATS forecasts
USAccDeaths %>%
tbats() %>%
forecast() %>%
autoplot()
taylor %>%
tbats() %>%
forecast() %>%
autoplot()
```
## For more information
* Get started in forecasting with the online textbook at http://OTexts.org/fpp2/
* Read the Hyndsight blog at https://robjhyndman.com/hyndsight/
* Ask forecasting questions on http://stats.stackexchange.com/tags/forecasting
* Ask R questions on http://stackoverflow.com/tags/forecasting+r
* Join the International Institute of Forecasters: http://forecasters.org/
## License
This package is free and open source software, licensed under GPL-3.
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