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...built-in codes for nonpara. bivariate regression so that I can estimate the joint distribution of two variables as a function of some covariates? Thanks a lot. --------------------------------------------------- Ximing Wu Department of Economics University of Guelph Guelph, Ontario, Canada, N1G 2W1 Tel: (519) 842-4120, ext 53014 Fax: (519) 763-8497 email: xiwu at uoguelph.ca Webpage: http://www.uoguelph.ca/~xiwu/

...successes/failures since the ORs are all adjusted for various factors.] Thanks! Kate Snedeker -- Kate Snedeker, PhD Postdoctoral Fellow Centre for Public Health and Zoonoses & Department of Population Medicine MacNabb House Ontario Veterinary College University of Guelph Guelph, Ontario N1G 2W1 Phone: 519-824-4120 x54471 Fax: 519-766-1730 E-mail: snedeker at uoguelph.ca

...turn my R code automatically into C? If yes, how can I do that? Do I benefit by doing it? (I know I can do this in matlab and it increases the speed when there is a lot of looping...) thanks a lot. x.w ------------------------ Ximing Wu Department of Economics University of Guelph Guelph, ON, N1G 2W1 Canada Tel: (519) 824-4120 ext. 53014 Fax: (519) 763-8497 email: xiwu at uoguelph.ca

...re-generate a whole set of arrays and matrices to individually store each regression coefficients one at a time. Thank you, Kevin Master of Science Student | University of Guelph Department of Food, Resource and Agricultural Economics J.D. MacLachlan Building - Room 002 Guelph, ON N1G 2W1 Webpage: <http://fare.uoguelph.ca/users/kchang01> http://fare.uoguelph.ca/users/kchang01 Email: <mailto:kchang01@uoguelph.ca> kchang01@uoguelph.ca Mobile: 226-979-2813 [[alternative HTML version deleted]]

...ll optimized as the binary distribution! If I really do need to compile R from scratch, can anyone recommend the appropriate configure flags? many thanks and best regards, Greg. -- Gregory Downs CRSC Room 219/414 Department of Plant Agriculture University of Guelph Guelph, Ontario, Canada, N1G 2W1 519-824-4120 x58164

I have been building an R function to calculate the ***observed*** (as opposed to expected) Fisher information matrix for parameter estimates in a rather complicated setting. I thought I had it working, but I am getting a result which is not positive definite. (One negative eigenvalue. Out of 10.) Is it the case that the observed Fisher information must be positive definite --- thereby

depends on "autoconf: regenerate configure scripts with 4.4 version" This series removes some of the really old deadwood from the tools build and makes some other things which are on their way out configurable at build time with a default depending on how far down the slope I judge them to be. * nuke in tree copy of libaio * nuke obsolete tools: xsview, miniterm, lomount & sv *