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forecast (version 3.18)

Forecasting functions for time series

Description

Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.

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Version

Install

install.packages('forecast')

Monthly Downloads

137,850

Version

3.18

License

GPL (>= 2)

Maintainer

Rob Hyndman

Last Published

February 17th, 2012

Functions in forecast (3.18)

BoxCox.lambda

Automatic selection of Box Cox transformation parameter
gas

Australian monthly gas production
Arima

Fit ARIMA model to univariate time series
forecast.StructTS

Forecasting using Structural Time Series models
logLik.ets

Log-Likelihood of an ets object
seasadj

Seasonal adjustment
sindexf

Forecast seasonal index
tbats

TBATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
monthdays

Number of days in each season
bats

BATS model (Exponential smoothing state space model with Box-Cox transformation, ARMA errors, Trend and Seasonal components)
auto.arima

Fit best ARIMA model to univariate time series
ma

Moving-average smoothing
gold

Daily morning gold prices
na.interp

Interpolate missing values in a time series
arfima

Fit a fractionally differenced ARFIMA model
forecast

Forecasting time series
croston

Forecasts for intermittent demand using Croston's method
seasonplot

Seasonal plot
CV

Cross-validation statistic
fitted.Arima

One-step in-sample forecasts using ARIMA models
plot.forecast

Forecast plot
rwf

Random Walk Forecast
splinef

Cubic Spline Forecast
dshw

Double-Seasonal Holt-Winters Forecasting
forecast.HoltWinters

Forecasting using Holt-Winters objects
BoxCox

Box Cox Transformation
ets

Exponential smoothing state space model
msts

Multi-Seasonal Time Series
forecast.bats

Forecasting using BATS and TBATS models
tsdisplay

Time series display
thetaf

Theta method forecast
forecast.stl

Forecasting using stl objects
naive

Naive forecasts
dm.test

Diebold-Mariano test for predictive accuracy
plot.ets

Plot components from ETS model
simulate.ets

Simulation from a time series model
Acf

(Partial) Autocorrelation Function Estimation
ses

Exponential smoothing forecasts
arima.errors

ARIMA errors
forecast.Arima

Forecasting using ARIMA or ARFIMA models
forecast.ets

Forecasting using ETS models
accuracy

Accuracy measures for forecast model
subset.ts

Subsetting a time series
taylor

Half-hourly electricity demand
meanf

Mean Forecast
seasonaldummy

Seasonal dummy variables
wineind

Australian total wine sales
ndiffs

Number of differences required for a stationary series
forecast.lm

Forecast a linear model with possible time series components
woolyrnq

Quarterly production of woollen yarn in Australia
tslm

Fit a linear model with time series components