[R] lmer and negative binomial family

2009-10-29 Thread Patrick Giraudoux
Dear listers,

One of my former students is trying to fit a model of the negative 
binomial family with lmer. In the past (two years ago), the following 
call was working well:

m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)

But now (R version 2.9.2 and lme4 version  0.999375-32), that gives 
(even with the library MASS loaded):

 
m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)
Error in famType(glmFit$family) : unknown GLM family: 'Negative Binomial'

Any idea about what happens ?

Patrick



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[R] lmer and negative binomial family

2009-10-29 Thread Patrick Giraudoux
Dear listers,

One of my former students is trying to fit a model of the negative 
binomial family with lmer. In the past (two years ago), the following 
call was working well:

m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)

But now (R version 2.9.2 and lme4 version  0.999375-32), that gives 
(even with the library MASS loaded):

 
m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)
Error in famType(glmFit$family) : unknown GLM family: 'Negative Binomial'

Any idea about what happens ?

Patrick




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Re: [R] lmer and negative binomial family

2009-10-29 Thread Patrick Giraudoux
Patrick Giraudoux a écrit :
 Dear listers,

 One of my former students is trying to fit a model of the negative 
 binomial family with lmer. In the past (two years ago), the following 
 call was working well:

 m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)

 But now (R version 2.9.2 and lme4 version  0.999375-32), that gives 
 (even with the library MASS loaded):

  
 m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)
 Error in famType(glmFit$family) : unknown GLM family: 'Negative Binomial'

 Any idea about what happens ?

 Patrick





Oups. Sorry to reply to myself, but the answer was here:

http://www.nabble.com/What-happen-for-Negative-binomial-link-in-Lmer-fonction--td26013041.html



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Re: [R] lmer and negative binomial family

2009-10-29 Thread John Sorkin
Patrick,
I am not sure about this but 
(1) I think you need to load the lme4 package, not MASS
(2) I don't think neg.bin is allowable. I suggest you load lme4 and then type 
?family

John

John David Sorkin M.D., Ph.D.
Chief, Biostatistics and Informatics
University of Maryland School of Medicine Division of Gerontology
Baltimore VA Medical Center
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)

 Patrick Giraudoux patrick.giraud...@univ-fcomte.fr 10/29/2009 8:43 AM 
Dear listers,

One of my former students is trying to fit a model of the negative 
binomial family with lmer. In the past (two years ago), the following 
call was working well:

m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)

But now (R version 2.9.2 and lme4 version  0.999375-32), that gives 
(even with the library MASS loaded):

 
m1a-lmer(mapos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.451),REML=TRUE,data=manu)
Error in famType(glmFit$family) : unknown GLM family: 'Negative Binomial'

Any idea about what happens ?

Patrick




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Re: [R] lmer and negative binomial family

2009-10-29 Thread Ben Bolker



John Sorkin wrote:
 
 Patrick,
 I am not sure about this but 
 (1) I think you need to load the lme4 package, not MASS
 (2) I don't think neg.bin is allowable. I suggest you load lme4 and then
 type ?family
 
 John
 
 

This conversation would probably go better on
r-sig-mixed-mod...@r-project.org ...
In the meanwhile --
   for a long time (I thought always, but I guess that's not true) the
allowable
families have been hard-coded within lme4, for purposes of efficiency.
The bottom line is that you can only use the following families:

famNms - c(binomial, gaussian, Gamma, inverse.gaussian,
poisson, quasibinomial, quasipoisson, quasi)

'quasipoisson' might be good, if you're willing to settle for a quasi-
answer,
although you should be careful with random effects variances -- in earlier
versions there are some problems with the scaling there

   If you really need NB I would suggest glmmADMB ...


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