On 6/9/05, Eric Hack <[EMAIL PROTECTED]> wrote: > Dear All, > > > > I am trying to specify the following fixed effects model for lme:
If you have a linear fixed-effects model you should use lm, not lme. > > y ~ constant1 - beta1*(x - beta2) > > where y is the response, x is the independent variable, and the > operators above are real arithmetic operations of addition, subtraction, > and multiplication. I realize that this model is just a > reparameterization of y=beta0+beta1*x, but I am using this > parameterization because I am specifically interested in confidence > bounds for beta2. You would need to fit that as a nonlinear model. In reference to such models "linear" means "linear in the parameters" and that model isn't. > I have looked at the help, but the closest hint I find is the I() > function, and that does not seem to work this way. > > > > I confess that I am actually using S-plus, but there does not seem to be > a resource like this list for S-plus. Look for the S-news email list (http://www.biostat.wustl.edu/s-news/) ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
