R help - May 2003 - NLME - multilevel model using binary outcome - logistic regression

Hi!

I'm pretty raw when working with the R models (linear or not).

I'm wondering has anybody worked with the NLME library and dichotomous
outcomes.
I have a binary outcome variable that I woul like to model in a nested
(multilevel) model.

I started to fit a logistic model to a NLS function, but could not suceed. I
know there are better ways to do it in R with either the LRM or GLM wih
family=binomial(logit) specification, but just as a paralel to the NLME... I
was unsucsesful..

Any information or an example would be most welcome...

best

Andrej

	[[alternate HTML version deleted]]

On 11 May 2003 at 23:12, Andrej Kveder wrote:
> Hi!
> 
> I'm pretty raw when working with the R models (linear or not).
> 
> I'm wondering has anybody worked with the NLME library and dichotomous
> outcomes.
> I have a binary outcome variable that I woul like to model in a nested
> (multilevel) model.
You can try glmmPQL in the MASS package, discussed in the book MASS.

Kjetil Halvorsen
> 
> I started to fit a logistic model to a NLS function, but could not suceed.
I
> know there are better ways to do it in R with either the LRM or GLM wih
> family=binomial(logit) specification, but just as a paralel to the NLME...
I
> was unsucsesful..
> 
> Any information or an example would be most welcome...
> 
> best
> 
> Andrej
> 
> 	[[alternate HTML version deleted]]
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help