David, Thank you for the insight.
HA1) StructTS() ships with R in package stats. HA2) I don't see anything strange or unusual in looking for standard errors of estimated parameters. In structural time series the only unknown parameters, estimated by StructTS(), happen to be variances. (Incidentally, I know how to take square roots in R) Best, Giovanni ----- Original Message ----- From: David Winsemius <dwinsem...@comcast.net> Date: Monday, December 21, 2009 3:50 pm Subject: Re: [R] StructTS standard errors > Alternate hypotheses: > > HA1: There is no one in the readership who is familiar with the > function (unlikely), or among those lacking knowledge of what > package > it might reside in (such as myself) chose not to look up what you > might have provided on the first posting: a self-contained example > to > work with. > > HA2: Your question also suggests a certain statistical confusion. > Do > your really want standard errors of estimated variances? That would > be > somewhat unusual. Or do you want to take the square-roots of the > variances to get standard errors of the estimated coefficients? > > > On Dec 21, 2009, at 4:26 PM, Giovanni Petris wrote: > > > > > Sorry for asking again, but I did not receive any answers - I > know > > it's a busy time... ;-) > > > > Shell I conclude that it is not possible to obtain standard > errors > > from StructTS() > > or its output? > > > > Thanks, > > Giovanni Petris > > > > ----- Original Message ----- > > From: Giovanni Petris <gpet...@uark.edu> > > Date: Thursday, December 17, 2009 10:13 am > > Subject: [R] StructTS standard errors > > > >> > >> Hello, > >> > >> Does anybody know if (and how) it is possible to obtain standard > >> errors of estimated variances from StructTS? (R 2.10.0). > >> > >> Thank you in advance, > >> Giovanni > -- > David Winsemius, MD > Heritage Laboratories > West Hartford, CT > > ______________________________________________ R-help@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.