On Tue, 12 May 2009, f.query wrote:
Greetings -
Am hoping to use the strucchange package to look for structural breaks in
some messy regression data. A series of preliminary analyses indicate that
BLUE for these data will involve some weighting the data (estimates of a
particular population parameter) by a function of the variance of the
estimate (say, inverse of the variance). While I've gone through the docs for
strucchange (which are excellent, btw),
Thanks!
I don't see a simple (or obvious) way
to apply some sort of 'weighting' to the regressions implemented in the
package.
I think there isn't in the "old" efp()/Fstats()/breakpoints() part, then
there is no easy way. But int the "new" gefp() function you can use
weights. If you want to do breakpoints estimation, I've got some modified
code which is not included in the package...let me know if you need it.
hth,
Z
Short of diving into source (which I could do, but I'm not sure how
the various tests would be impacted by weighting of any sort), was wondering
if anyone had dealt with this sort of issue - either with strucchange, or
some other approach/package?
Thanks in advance...
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