R help - Apr 2006 - about the generalized linear models

Hello,

I'm writng this message to see if anyone knows how to analyze a data with
geometrically distributed outcome.

My situation now is : I have a outcome which is geometrically distributed. And
I've also self-derived the link function for geometric distribution. I want
to
use generalized linear models to analyze it, but there're only models for
binary data, poisson distributed data,.... I couldn't find any models for
geometrically distributed data. Does anybody happen to know a package or some
way of analyzing this type of data?

Thanks!

Best regards!

Xiaoling

xzhong at nd.edu wrote:
> Hello,
> 
> I'm writng this message to see if anyone knows how to analyze a data
with
> geometrically distributed outcome.
> 
> My situation now is : I have a outcome which is geometrically distributed.
And
> I've also self-derived the link function for geometric distribution. I
want to
> use generalized linear models to analyze it, but there're only models
for
> binary data, poisson distributed data,.... I couldn't find any models
for
> geometrically distributed data. Does anybody happen to know a package or
some
> way of analyzing this type of data?
> 
> Thanks!
> 
> Best regards!
> 
> Xiaoling
> 
Hi, Xiaoling,

Since the geometric distribution is a special case of the negative 
binomial you should be able to use glm.nb in the MASS package. Or, if 
your really believe your data are geometric (i.e. theta is fixed at 1), 
you can use:

library(MASS)
# from ?negative.binomial
glm(Days ~ .^4, family = negative.binomial(1), data = quine)

HTH,

--sundar

Hi, 
 
 The geometrical distribution is a particular case of negative binomial
distribution. See in MASS
 try 
    >help.search(negative.binomial)
 
  
 
----- Message d'origine ----
De : xzhong@nd.edu
À : r-help@stat.math.ethz.ch
Envoyé le : Mardi, 4 Avril 2006, 3h06mn 48s
Objet : [R] about the generalized linear models

Hello,

I'm writng this message to see if anyone knows how to analyze a data with
geometrically distributed outcome.

My situation now is : I have a outcome which is geometrically distributed. And
I've also self-derived the link function for geometric distribution. I want
to
use generalized linear models to analyze it, but there're only models for
binary data, poisson distributed data,.... I couldn't find any models for
geometrically distributed data. Does anybody happen to know a package or some
way of analyzing this type of data?

Thanks!

Best regards!

Xiaoling

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