[R] Exponential, Weibull and log-logistic distributions in glm()

From: Gorjanc Gregor <Gregor.Gorjanc_at_bfro.uni-lj.si>
Date: Wed 10 Aug 2005 - 21:42:12 EST


Dear R-users!

I would like to fit exponential, Weibull and log-logistic via glm() like functions. Does anyone know a way to do this? Bellow is a bit longer description of my problem.

Hm, could family() be adjusted/improved/added to allow for these distributions? SAS procedure GENMOD alows to specify deviance and variance functions to help in such cases. I have not tried that option and I do not know how does it work. I do not expect that others will do the job, although it would not harm ;)

Thanks in advance!

I fully understand that all mentioned distributiones are available through
"survival" functions in various packages but I don't have data that
correspond fully to survival data. I have data on some cell parameters, which show cell vitality. These data are highly skewed and I have therefore modeled them via log-normal and gamma in glm(). Based on deviance residuals, gamma seems to fit better. By the way, are there any other means of chosing the right disribution for GLM?

However, some references from field of this data suggested that Weibull might be better and I would like to try this, as well as with exponential and log-logistic. Of course, author in that paper did not say how they performed the analyses, but I guess they took each group (several group were compared) separately and estimated parameters for distribution, say Weibull, via maximum likelhood. I do not like this approach, since not all data are used in one run, and would like to use model to get parameter estimates and perform inference. With Weibull I am aware that it does not fit in exponential family, unless one is read to specify a value/estimate for one parameter.

Any comment are welcome!

Lep pozdrav / With regards,

    Gregor Gorjanc



University of Ljubljana
Biotechnical Faculty        URI: http://www.bfro.uni-lj.si/MR/ggorjan
Zootechnical Department     mail: gregor.gorjanc <at> bfro.uni-lj.si
Groblje 3                   tel: +386 (0)1 72 17 861
SI-1230 Domzale             fax: +386 (0)1 72 17 888
Slovenia, Europe

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