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| From | Hobst <tobias.friedli@access.uzh.ch> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: -xtmixed- performance problem |
| Date | Sat, 11 Sep 2010 05:28:00 -0700 (PDT) |
Hello everybody I want to run the following two-way error component regression in xtmixed, with cluster robust standard errors xtmixed y x1 x2 x3 x4 || _all: R.id || datevar:, mle residuals(, by(id)) Without the term residuals(,by(id)) the regression is very fast, but with the the option included, it did only 2 iterations in 48h. Does anybody have any idea, what i could do to speed the regression up? Is there maybe an option to decrease accuracy or something like that? Thank you very much for your support. Regards Toby -- View this message in context: http://statalist.1588530.n2.nabble.com/xtmixed-performance-problem-tp5521309p5521309.html Sent from the Statalist mailing list archive at Nabble.com. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/