Ah, you mean a method for profile() for an object fitted by optim or nlm! That's not any of the first five or so meanings I envisaged. (Not that that can be exactly true, as the results from ms, optim and nlm are not classed.)
It's not at all difficult to cook one up: you just need to look at the way arima uses optim with a variable subset of parameters held fixed. Unlike S-PLUS, you can use lexical scoping (and arima does). However, I would rather profile a real fit class using a fit function based on optim. On Thu, 23 Jan 2003, Steve Roberts wrote: > Greetings, > > Before I reinvent the wheel has anyone done a profile function for a > fit using optim (or nlm)? (like the buggy profile.ms in S+) . It > seems a bit tricky as the function to be minimised has to have > arguments corresponding to the variables being fitted - which is one > less than the function provided to optim()... I guess you can create > another function on the fly somehow. > > Cheers, > > Steve. > Dr Steve Roberts > [EMAIL PROTECTED] > > Biostatistics Group, > School of Epidemiology and Health Sciences, > 2nd Floor,Stopford Building, > University of Manchester. > M13 9PT. > Tel: 0161 275 5192 FAX: 0161 275 5205 > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
