Message-ID: <7FFEE688B57D7346BC6241C55900E730F319C4@pollux.bfro.uni-lj.si>
Date: 2005-08-12T11:34:07Z
From: Gorjanc Gregor
Subject: Exponential, Weibull and log-logistic distributions in glm()
>> 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.
>
> I think you want to use survreg(). It will still work when there is no
> censoring.
>
>
> Adding these families to glm() would be difficult. They are really not
> generalized linear models in any of the useful senses: not exponential
> families, don't have estimating functions linear in the response
> variable, not fitted by iteratively reweighted least squares.
Thank you very much for the response. I didn't want to get into survival
since this is really not my field, but it seems that providing those
distributions in glm() is not so easy as I thought. Based on your hint I
tried with survreg and estimates seems reasonable.
best, Gregor