[R] gefp() boundaries?
Achim Zeileis
Achim.Zeileis at uibk.ac.at
Wed Oct 5 07:32:04 CEST 2011
On Tue, 4 Oct 2011, bonda wrote:
> Hello all,
>
> I have the following two questions: 1) how can I get the values of
> boundaries for fluctuation process gefp(), for functionals maxBB, meanL2BB,
> etc?
Both, maxBB and meanL2BB, are objects of class "efpFunctional" that
contain several functions including $computeCritval and $boundary that
compute the critical value c and base boundary b(t), respectively. The
full boundary is the c * b(t). In case of maxBB and meanL2BB however, the
boundary is constant anyway, i.e., b(t) = 1, so you essentially need only
the critical value.
## compute and plot gefp
library("strucchange")
data("durab")
scus <- gefp(y ~ lag, data = durab)
plot(scus, functional = meanL2BB)
## add the critical value (= boundary here) in another color
abline(h = meanL2BB$computeCritval(0.05, nproc = 2), col = 4)
> 2) how can I get fragments of gefp()-process, e.g., if I have n=200
> observations, i=1,2,...,200, and need gefp()[50:100], i.e. from i=50 till
> i=100?
gefp_object$process has the cumulative score process as a "zoo" object
which preserves the original time scale of the data (if any), e.g.
proc <- scus$process
window(proc, start = 2000, end = 2001)
proc[11:20]
Note, however, that the process has n+1 observations because an additional
zero is added as the first element (to facilitate visualizations etc.).
See ?gefp, ?efpFunctional for more information and in particular
Zeileis A. (2006), Implementing a Class of Structural Change
Tests: An Econometric Computing Approach. _Computational
Statistics & Data Analysis_, *50*, 2987-3008.
doi:10.1016/j.csda.2005.07.001.
hth,
Z
> Thank you in advance,
> Julia
>
> --
> View this message in context: http://r.789695.n4.nabble.com/gefp-boundaries-tp3872529p3872529.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
More information about the R-help
mailing list