um {tfarima} | R Documentation |
Univariate (ARIMA) model
Description
um
creates an S3 object representing a univariate ARIMA model, which
can contain multiple AR, I and MA polynomials, as well as parameter
restrictions.
Usage
um(
z = NULL,
ar = NULL,
i = NULL,
ma = NULL,
mu = NULL,
sig2 = 1,
bc = FALSE,
fit = TRUE,
envir = parent.frame(),
...
)
Arguments
z |
an object of class |
ar |
list of stationary AR lag polynomials. |
i |
list of nonstationary AR (I) polynomials. |
ma |
list of MA polynomials. |
mu |
mean of the stationary time series. |
sig2 |
variance of the error. |
bc |
logical. If TRUE logs are taken. |
fit |
logical. If TRUE, model is fitted. |
envir |
the environment in which to look for the time series z when it is passed as a character string. |
... |
additional arguments. |
Value
An object of class um
.
References
Box, G.E.P., Jenkins, G.M., Reinsel, G.C. and Ljung, G.M. (2015) Time Series Analysis: Forecasting and Control. John Wiley & Sons, Hoboken.
Examples
ar1 <- um(ar = "(1 - 0.8B)")
ar2 <- um(ar = "(1 - 1.4B + 0.8B^2)")
ma1 <- um(ma = "(1 - 0.8B)")
ma2 <- um(ma = "(1 - 1.4B + 0.8B^2)")
arma11 <- um(ar = "(1 - 1.4B + 0.8B^2)", ma = "(1 - 0.8B)")
[Package tfarima version 0.3.2 Index]