[R] glm and percentage data with many zero values

BXC (Bendix Carstensen) bxc at steno.dk
Fri Jan 21 14:46:13 CET 2005


The ZIP model can be fitted with Jim Lindsey's function fmr 
from his gnlm library, see:

http://popgen0146uns50.unimaas.nl/~jlindsey/rcode.html

Bendix Carstensen
----------------------
Bendix Carstensen
Senior Statistician
Steno Diabetes Center
Niels Steensens Vej 2
DK-2820 Gentofte
Denmark
tel: +45 44 43 87 38
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fax: +45 44 43 07 06
bxc at steno.dk
www.biostat.ku.dk/~bxc
----------------------



> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Gregor GORJANC
> Sent: Friday, January 21, 2005 1:05 PM
> To: christian.kamenik at ips.unibe.ch; r-help at stat.math.ethz.ch
> Subject: RE: [R] glm and percentage data with many zero values
> 
> 
> A hint.
> 
> You might try with ZIP i.e. zero inflated poisson model. I 
> did not used it, 
> but I have such data to work on. So if there is anyone hwo 
> can point how to 
> do this in R - please. There is also a classs of ZINB or 
> something like 
> that for zero inflated negative binomial models.
> 
> Actually I just went on web and found a book from Simonoff "Analyzing 
> Categorical Data" and there are some examples in it for ZIP 
> et al. Look 
> examples for sections 4.5 and 5.4
> 
http://www.stern.nyu.edu/~jsimonof/AnalCatData/Splus/analcatdata.s
http://www.stern.nyu.edu/~jsimonof/AnalCatData/Splus/functions.s

-- 
Lep pozdrav / With regards,
     Gregor GORJANC

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