Man pages for pli2016/forecast
Forecasting Functions for Time Series and Linear Models

accuracyAccuracy measures for forecast model
Acf(Partial) Autocorrelation and Cross-Correlation Function...
arfimaFit a fractionally differenced ARFIMA model
arimaFit ARIMA model to univariate time series
arimaorderReturn the order of an ARIMA or ARFIMA model
auto.arimaFit best ARIMA model to univariate time series
autolayerCreate a ggplot layer appropriate to a particular data type
autoplot.acfggplot (Partial) Autocorrelation and Cross-Correlation...
autoplot.seasPlot time series decomposition components using ggplot
autoplot.tsAutomatically create a ggplot for time series objects
baggedETSForecasting using the bagged ETS method
batsBATS model (Exponential smoothing state space model with...
bizdaysNumber of trading days in each season
bld.mbb.bootstrapBox-Cox and Loess-based decomposition bootstrap.
BoxCoxBox Cox Transformation
BoxCoxlambdaAutomatic selection of Box Cox transformation parameter
checkresidualsCheck that residuals from a time series model look like white...
componentsExtract components from a time series decomposition
crostonForecasts for intermittent demand using Croston's method
CVCross-validation statistic
CVark-fold Cross-Validation applied to an autoregressive model
diebold.mariano.testDiebold-Mariano test for predictive accuracy
dshwDouble-Seasonal Holt-Winters Forecasting
easterEaster holidays in each season
etsExponential smoothing state space model
findfrequencyFind dominant frequency of a time series
fitted.Arimah-step in-sample forecasts for time series models.
forecastForecasting time series
forecast.ArimaForecasting using ARIMA or ARFIMA models
forecast.baggedETSForecasting using the bagged ETS method
forecast.batsForecasting using BATS and TBATS models
forecast.etsForecasting using ETS models
forecast.HoltWintersForecasting using Holt-Winters objects
forecast.lmForecast a linear model with possible time series components
forecast.mlmForecast a multiple linear model with possible time series...
forecast.nnetarForecasting using neural network models
forecastplotForecast plot
forecast.stlForecasting using stl objects
forecast.StructTSForecasting using Structural Time Series models
gasAustralian monthly gas production
geom_forecastForecast plot
getResponseGet response variable from time series model.
gghistogramHistogram with optional normal and kernel density functions
gglagplotTime series lag ggplots
ggmonthplotCreate a seasonal subseries ggplot
goldDaily morning gold prices
is.constantIs an object constant?
is.forecastIs an object a particular forecast type?
is.modelIs an object a particular model type?
maMoving-average smoothing
meanfMean Forecast
mforecastForecasting time series
monthdaysNumber of days in each season
mstsMulti-Seasonal Time Series
na.interpInterpolate missing values in a time series
naiveNaive and Random Walk Forecasts
nnetarNeural Network Time Series Forecasts
numberdiffsNumber of differences required for a stationary series
plot.ArimaPlot characteristic roots from ARIMA model
plot.batsPlot components from BATS model
plot.etsPlot components from ETS model
plot.mforecastMultivariate forecast plot
reexportsObjects exported from other packages
residualsResiduals for various time series models
seas.adjSeasonal adjustment
seasonal.dummySeasonal dummy variables
seasonplotSeasonal plot
sesExponential smoothing forecasts
simulateSimulation from a time series model
sindexForecast seasonal index
spline.fCubic Spline Forecast
subsettsSubsetting a time series
taylorHalf-hourly electricity demand
tbatsTBATS model (Exponential smoothing state space model with...
tbats.componentsExtract components of a TBATS model
thetaTheta method forecast
tscleanIdentify and replace outliers and missing values in a time...
tscvTime series cross-validation
ts.displayTime series display
tslmFit a linear model with time series components
tsoutliersIdentify and replace outliers in a time series
wineindAustralian total wine sales
woolyrnqQuarterly production of woollen yarn in Australia
pli2016/forecast documentation built on May 25, 2019, 8:22 a.m.