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gmwm (version 2.0.0)

AR: Create an Autoregressive P [AR(P)] Process

Description

Setups the necessary backend for the AR(P) process.

Usage

AR(phi = NULL, sigma2 = 1)

Arguments

phi
A vector with double values for the $phi$ of an AR(P) process.
sigma2
A double value for the variance, $sigma^2$, of a WN process.

Value

An S3 object with called ts.model with the following structure:
process.desc
Used in summary: "AR-1","AR-2", ..., "AR-P", "SIGMA2"
theta
$phi[[1]]$, $phi[[2]]$, ..., $phi[[p]]$, $sigma^2$
plength
Number of Parameters
desc
"AR"
obj.desc
Depth of Parameters e.g. list(p,1)
starting
Guess Starting values? TRUE or FALSE (e.g. specified value)

Examples

Run this code
AR(1) # Slower version of AR1()
AR(phi=.32, sigma=1.3) # Slower version of AR1()
AR(2) # Equivalent to ARMA(2,0).

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