[R] extracting standard errors in glm.nb

jpl s-jlubben1 at math.unl.edu
Sun Feb 15 23:35:33 CET 2009


Mea culpa.  Thanks!

jpl



David Winsemius wrote:
> 
> Look more thoroughly?
> 
> You should see this about 2/3 the way down the output:
> 
> $ coefficients  : num [1:14, 1:4] 3.019 -0.475 -0.709 -0.724 -0.615 ...
>    ..- attr(*, "dimnames")=List of 2
>    .. ..$ : chr [1:14] "(Intercept)" "SexM" "SexF:AgeF1"  
> "SexM:AgeF1" ...
>    .. ..$ : chr [1:4] "Estimate" "Std. Error" "z value" "Pr(>|z|)"
> 
> You can also get the same information by entering:
> 
> coef(sumnb1)
> 
> -- 
> David Winsemius
> 
> On Feb 15, 2009, at 9:40 AM, jpl wrote:
> 
>>
>> Hi Dieter,
>>
>> I don't see anything in the str(model) output that matches the  
>> standard
>> errors of the coefficients given in summary(model).  Any other  
>> suggestion?
>> Thanks.
>>
>> jpl
>>
>>
>>
>> Dieter Menne wrote:
>>>
>>> jpl <s-jlubben1 <at> math.unl.edu> writes:
>>>
>>>>
>>>> How do I extract the standard errors of the coefficients in a glm.nb
>>>> model?
>>>
>>> library(MASS)
>>> quine.nb1 <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), data = quine)
>>> sumnb1 = summary(quine.nb1)
>>> sumnb1
>>> str(sumnb1) # tells you about the anatomy. Check for $coefficients
>>>
>>> Dieter
>>>
>>> ______________________________________________
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>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
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>>>
>>>
>>
>> -- 
>> View this message in context:
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>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

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