of R
problems with time series ... spread the word:
http://www.stat.pitt.edu/stoffer/tsa2/Rissues.htm . You will also find some
fixes there, and you will see that I point out some inconsistencies [e.g.,
if you use ar(), the term intercept is used differently than in arima()].
Unfortunately, that
Hey Roy ... it's been awhile. We have an example of structural
equation modeling in our text in section 6.5. There's also an example
and the R code for the example is here:
http://www.stat.pitt.edu/stoffer/tsa2/chap6.htm
Scroll down to "Code to do Example 6.10 via BFGS"
The
ble report.
David
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David S. Stoffer
Department of Statistics
University of Pittsburgh
Pittsburgh, PA 15260
phone: [412] 624-8496
fax: [412] 648-8814
email: [EMAIL PROTECTED]
web: http://www.stat.pitt.edu/stoffer
voice: hey dave
_
I have written before, but to no avail. I have found two minor
problems with fitting time series models with R. The thing is, they
may be solved with MINOR adjustments to the code.
I have posted these problems with detailed examples here:
http://www.stat.pitt.edu/stoffer/tsa2/Rissues.htm
"intercept" estimate
in this example should be 9.8067*(1-.8704). Either change the
output to read "mean" instead of "intercept", or report the
intercept instead of the mean.
Thanks-
David
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David S. Stoffer
Department of Stati