VARFIMA.est: Maximum likelihood estimation of a VARFIMA(1,1) in final...

Description Usage Arguments Details References Examples

View source: R/VARFIMA_est.R

Description

VARFIMA.est returns the maximum likelihood estimate of the parameter vector of a VARFIMA(1,1) in final equations form.

Usage

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Arguments

data

data matrix with T observations of q-dimensional process.

approx

order of the AR-approximation that is supposed to be used. Default is approx=100.

split

to increase the speed the sample can be divided in split parts. Parmeter estimation is then carried out seperately for each subsample and results are averaged across the subsamples.

rep

is passed to ll_VARFIMA and determines whether the current parameter vector is printed to the user in every iteration of the numerical maximization procedure.

Details

add details here.

References

Lutkepohl, H. (2007): New introduction to multiple time series analysis. Springer.

Examples

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series<-VARFIMA.sim(phi=0.4, THETA=matrix(c(0,0,0,0),2,2), 
d.vec=c(0.4,0.3), T=1000, Sigma=matrix(c(1,0.4,0.4,1),2,2))
ts.plot(series, col=1:2)
acf(series, lag=100)
VARFIMA.est(series, approx=100, rep=TRUE)

FunWithR/LongMemoryTS documentation built on June 9, 2018, 12:22 a.m.