Michael A. Gilchrist
2009-Oct-22 22:36 UTC
[R] removing random effect from nlme or using varPower() in nls
Hello, I've been fitting a random effects model using nlme to some data, but I am discovering that the variation in my random effect is very small. As a result, I would like to replace it as a fixed effect (i.e. essentially fit the same model but with no random effect). As I understand it I could do this using nls(), but I'm using a number of options such as weights = varPower() which I am at a loss on how to implement in that framework. Is there a way to use nlme but with out a random effect? (a bit absurd, I realize, but I have the syntax working...) Alternatively, is there a way to use "weights = varPower()" with nls? Any help would be appreciated. Sincerely, Mike
Kingsford Jones
2009-Oct-23 00:09 UTC
[R] removing random effect from nlme or using varPower() in nls
help(gnls, pack=nlme) hth, Kingsford Jones On Thu, Oct 22, 2009 at 4:36 PM, Michael A. Gilchrist <mikeg at utk.edu> wrote:> Hello, > > I've been fitting a random effects model using nlme to some data, but I am > discovering that the variation in my random effect is very small. ?As a > result, I would like to replace it as a fixed effect (i.e. essentially fit > the same model but with no random effect). > > As I understand it I could do this using nls(), but I'm using a number of > options such as weights = varPower() which I am at a loss on how to > implement in that framework. > > Is there a way to use nlme but with out a random effect? (a bit absurd, I > realize, but I have the syntax working...) > > Alternatively, is there a way to use "weights = varPower()" with nls? > > Any help would be appreciated. > > Sincerely, > > Mike > > ______________________________________________ > R-help at 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. >