[R-sig-ME] lmer model specification problem

[Ben Bolker]

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  Rajibul,

  Gamma GLMs are not currently working well with glmer.  We hope to fix
this soon, but in the meantime I would recommend trying a lognormal
model (i.e., log-transform the data and then use lmer without a family=
argument).

  You say that your responses are positive continuous, but the responses
you show all happen to be integers.  Is that something you want to take
into account?

  Ben Bolker

On 11-04-11 06:20 PM, rajibul islam wrote:
> 
> Dear All:
> 
> I am having a problem with the function...........lmer()
> 
> The data looks like...........
> 
> id time res-----------(responses are all positive continuous) 1  1 1
> 2 1  3 1  6 2  1 2  2 2  3 2  6 . . . .
> 
> i used a gamma model like............with two types of link
> function......(inverse and log), I also tried
> identity............they also shows different types of
> problem............
> 
>> m1.1.0g2<-lmer(response0g~time0g+(1|id0g),family=Gamma(link =
>> "inverse"))
> Error in mer_finalize(ans) : mu[i] must be positive: mu = -16, i =
> 37
> 
> 
>> m1.1.0g2<-lmer(response0g~time0g+(1|id0g),family=Gamma(link =
>> "log"))
>> 
>> m1.1.0g2
> Error in asMethod(object) : matrix is not symmetric [1,2]
> 
> Any kinds of helps (as well as idea) will be highly
> appreciable..........Thanks...........
> 
> Regards.....
> 
> Rajib..............http://rimian85.web.officelive.com/
> 
> 
> 
> 
> 
>> R-sig-mixed-models at r-project.org mailing list 
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>  [[alternative HTML version deleted]]
> 
> _______________________________________________ 
> R-sig-mixed-models at r-project.org mailing list 
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

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