[R-sig-ME] I can still use nlme instead of nlmer/lme4 right?

[Doran, Harold]

Yes and no. There are no particular problems with nlme that would impede you from completing scientific work properly. With that said, lmer is substantially improved from its primative cousins in many ways; primarily it is more capable of estimating models with large data.

You are correct that documentation is thinner than what is available for nlme. But, there is plently of help on this list. I'm quite sure with good questions, you'll find all the support on this list you could possibly need.

> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org 
> [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf 
> Of David Airey
> Sent: Thursday, November 05, 2009 9:29 AM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] I can still use nlme instead of nlmer/lme4 right?
> 
> I have a project to conduct simulations for which I must 
> consider a nonlinear mixed model (dose-response, 4 parameter 
> logistic model).  
> Because I have the Pinheiro and Bates book, which does such a 
> great job explaining things, whereas lme4 documentation is 
> too thin for me, I'd like to stick with the NLME package for 
> now. Is that in some way unadvisable?
> 
> Thanks,
> 
> -Dave
> 
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