There is some generalized F code (which would include many other parameteric survival models as submodels) at this page. The R package seems somewhat non-standard in terms of installation and I have not tried it: http://www.math.mun.ca/~ypeng/research/
On 7/8/06, Valentin Dimitrov <[EMAIL PROTECTED]> wrote: > > I am new to the field of survival analysis and my > first text read on that topic is Franses/Paap, > Quantitative Models in Marketing Research, Chapter 8. > There the kind of models I describe are the standard > proportional hazard models. But also in Internet I > find texts which say something about parametric PH > models, where the baseline hazard can take some > specific form! See for instance: > http://www.weibull.com/AccelTestWeb/proportional_hazards_model.htm > The second part reads "parametric PH models" and there > is an example with the Weibull baseline distribution. > The log-likelihood is derived, too. The same could be > done with the other distributions I mentioned > (lognormal, loglogistic, exponential). > Anyway, if you say these models are untraditional, > then maybe there is also no R-function for them... > In that case I'll write a R-code myself to fit them > using ML. > > Kind regards, > Valentin > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
