On 02/28/2013 08:27 PM, Martin Spindler wrote:
Dear all,
I would like to ask, if there is a way to make the variance / dispersion
parameter $\theta$ (referring to MASS, 4th edition, p. 206) in the function
glm.nb dependent on the data, e.g. $1/ \theta = exp(x \beta)$ and to estimate
the param
Martin Spindler gmx.de> writes:
>
> Dear all,
>
> I would like to ask, if there is a way to make the
> variance / dispersion parameter $\theta$ (referring to
> MASS, 4th edition, p. 206) in the function glm.nb dependent on the
> data, e.g. $1/ \theta = exp(x \beta)$ and
> to estimate the param
On 28/02/2013 07:27, Martin Spindler wrote:
Dear all,
I would like to ask, if there is a way to make the variance / dispersion
parameter $\theta$ (referring to MASS, 4th edition, p. 206) in the function
glm.nb dependent on the data, e.g. $1/ \theta = exp(x \beta)$ and to estimate
the paramete
Dear all,
I would like to ask, if there is a way to make the variance / dispersion
parameter $\theta$ (referring to MASS, 4th edition, p. 206) in the function
glm.nb dependent on the data, e.g. $1/ \theta = exp(x \beta)$ and to estimate
the parameter vector $\beta$ additionally.
If this is not
Hello,
I have some data that exhibits a negative binomial distribution and also
spatial structure. I would like to create a model that accounts for both.
However, instead of locations, I have a distance matrix (cost matrix)
describing the spatial relationships among the locations. I have tried usi
I am a student who is doing empirical work for his thesis and trying to
switch to R. I am familiar with Stata, and at the moment I am trying to
replicate some of my previous work.
I have a large unbalanced panel data set, observations for different
countries between 1970 and 2007. My dependent
Prof Brian Ripley wrote:
'poisson' _family_, I presume?
oops, yes.
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On Tue, 29 Jul 2008, Ben Bolker wrote:
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Prof Brian Ripley wrote:
| On Tue, 29 Jul 2008, Ben Bolker wrote:
|
|> jcarmichael gmail.com> writes:
|>>
|>> Hello.
|>>
|>> I am attempting to duplicate a negative binomial regression in R.
|>> SAS uses
|>> g
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Prof Brian Ripley wrote:
| On Tue, 29 Jul 2008, Ben Bolker wrote:
|
|> jcarmichael gmail.com> writes:
|>
|>>
|>>
|>> Hello.
|>>
|>> I am attempting to duplicate a negative binomial regression in R.
|>> SAS uses
|>> generalized estimating equations fo
On Tue, 29 Jul 2008, Ben Bolker wrote:
jcarmichael gmail.com> writes:
Hello.
I am attempting to duplicate a negative binomial regression in R. SAS uses
generalized estimating equations for model fitting in the GENMOD procedure.
proc genmod data=mydata (where=(gender='F'));
by agegroup;
c
jcarmichael gmail.com> writes:
>
>
> Hello.
>
> I am attempting to duplicate a negative binomial regression in R. SAS uses
> generalized estimating equations for model fitting in the GENMOD procedure.
>
> proc genmod data=mydata (where=(gender='F'));
> by agegroup;
> class id gender type;
>
Hello.
I am attempting to duplicate a negative binomial regression in R. SAS uses
generalized estimating equations for model fitting in the GENMOD procedure.
proc genmod data=mydata (where=(gender='F'));
by agegroup;
class id gender type;
model count = var1 var2 var3 /dist=NB link=log offset=l
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