itsmr-package |
Time Series Analysis Using the Innovations Algorithm |
aacvf |
Autocovariance of ARMA model |
acvf |
Autocovariance of data |
airpass |
Number of international airline passengers, 1949 to 1960 |
ar.inf |
Compute AR infinity coefficients |
arar |
Forecast using ARAR algorithm |
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 algorithm |
hr |
Estimate harmonic components |
ia |
Estimate MA coefficients using the innovations algorithm |
itsmr |
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 |