
Please exuse my lack of knowledge but I didn't get any verbose output..  All I get is the error message.  Is there something I can type to get the verbose output even if the model does not run completely.  
 
 

 

> Date: Fri, 8 Jul 2011 09:46:27 -0500
> Subject: Re: [R-sig-ME] lack of convergence
> From: bates@stat.wisc.edu
> To: megalops31@hotmail.com
> CC: r-sig-mixed-models@r-project.org
> 
> On Fri, Jul 8, 2011 at 6:20 AM, Mike Gibson <megalops31@hotmail.com> wrote:
> 
> > I already ran a mixed model and got convergence.  I have 700 data points.  Now, I am running a new mixed model that adds the ARMA (corARMA) covariance pattern.  I keep getting an error message telling me that the model did not reach convergence.  I already tried reducing my tolerance to 1e-1 and increased the number of iterations to 7,000.  Still, I am not having any luck.
> 
> > Any suggestions to get my model to work properly so I can get my parameter estimates?  I pasted my covariance code below.
> 
> > LVB2.nlme<-update(LVB.nlme, corr=corARMA(p=1, q=1),
> > control=nlmeControl(maxIter=6000, tolerance=1e-1, msVerbose=TRUE))
> 
> Do you see any patterns in the verbose output indicating that the
> parameter estimates are getting stalled somewhere?
 		 	   		  
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