aacvf | Autocovariance of ARMA model |
acvf | Autocovariance of data |
airpass | Number of international airline passengers, 1949 to 1960 |
arar | Forecast using ARAR algorithm |
ar.inf | Compute AR infinity coefficients |
arma | Estimate ARMA model coefficients using maximum likelihood |
autofit | Find the best model from a range of possible ARMA models |
burg | Estimate AR coefficients using the Burg method |
check | Check for causality and invertibility |
deaths | USA accidental deaths, 1973 to 1978 |
dowj | Dow Jones utilities index, August 28 to December 18, 1972 |
forecast | Forecast future values |
hannan | Estimate ARMA coefficients using the Hannan-Rissanen... |
hr | Estimate harmonic components |
ia | Estimate MA coefficients using the innovations algorithm |
itsmr-package | Time Series Analysis Using the Innovations Algorithm |
lake | Level of Lake Huron, 1875 to 1972 |
ma.inf | Compute MA infinity coefficients |
periodogram | Plot a periodogram |
plota | Plot data and/or model ACF and PACF |
plotc | Plot one or two time series |
plots | Plot spectrum of data or ARMA model |
Resid | Compute residuals |
season | Estimate seasonal component |
selftest | Run a self test |
sim | Generate synthetic observations |
smooth.exp | Apply an exponential filter |
smooth.fft | Apply a low pass filter |
smooth.ma | Apply a moving average filter |
smooth.rank | Apply a spectral filter |
specify | Specify an ARMA model |
strikes | USA union strikes, 1951-1980 |
Sunspots | Number of sunspots, 1770 to 1869 |
test | Test residuals for stationarity and randomness |
trend | Estimate trend component |
wine | Australian red wine sales, January 1980 to October 1991 |
yw | Estimate AR coefficients using the Yule-Walker method |
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