Marty Kardos wrote:
>
> Hi;
>
> I am running generalized linear mixed models (GLMMs) with the lmer
> function
> from the lme4 package in R 2.6.2. My response variable is overdispersed,
> and
> I would like (if possible) to run a negative binomial GLMM with lmer if
> possible. I saw a posting
Perhaps because you have not loaded the package that contains it?
If you have installed MASS (via the super package VR) then try:
require(MASS)
?negative.binomial
--
David Winsemius
On Dec 11, 2008, at 4:29 PM, Marty Kardos wrote:
Hi;
I am running generalized linear mixed models (GLMMs)
Hi;
I am running generalized linear mixed models (GLMMs) with the lmer function
from the lme4 package in R 2.6.2. My response variable is overdispersed, and
I would like (if possible) to run a negative binomial GLMM with lmer if
possible. I saw a posting from November 15, 2007 which indicated tha
-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of H. Skaug
Sent: Thursday, 15 November 2007 8:16 PM
To: r-help@r-project.org
Subject: [R] negative binomial lmer
If lmer() does not do it, you can try:
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
It handles negative
If lmer() does not do it, you can try:
http://otter-rsch.com/admbre/examples/glmmadmb/glmmADMB.html
It handles negative binomial responce (but you may have to remove data
entries involving NA manually).
Regards,
hans
>Hi
>I am running an lmer which works fine with family=poisson
>
>mixed.mode
Hi
I am running an lmer which works fine with family=poisson
mixed.model<-lmer(nobees~spray+dist+flwabund+flwdiv+round+(1|field),family="poisson",method="ML",na.action=na.omit)
But it is overdispersed. I tried using family=quasipoisson but get no P
values. This didnt worry me too much as i thin
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