Dear Professor Ripley,
thanks again for your mail and useful comments.
Surv(event = 1) means uncensored. If you try event = 0, the fitter
diverges towards an exact fit, as I said it should.
Sorry, I misunderstood this.
(BTW, using a .com address suggests you are a COMpany and in the absence
of
Your example code is asserting that the events occurred at the times in
'obs.time', not before those times.
Surv(event = 1) means uncensored. If you try event = 0, the fitter
diverges towards an exact fit, as I said it should.
Yes, you will get a good fit to the ECDF, but you are modelling the
Dear Prof Ripley and Dimitris (cc R-list),
thank you very much for your very insightful responses.
I've been checking how to use survreg{survival} to fit a left-censored
lognormal distribution, and I was surprised to find that results are exactly
the same as with fitdistr{MASS}. Here is an exampl
On Sat, 23 Feb 2008, ahimsa campos-arceiz wrote:
> Dear all,
>
> I'm trying to estimate the parameters of a lognormal distribution fitted
> from some data.
>
> The tricky thing is that my data represent the time at which I recorded
> certain events. However, in many cases I don't really know when
Dear all,
I'm trying to estimate the parameters of a lognormal distribution fitted
from some data.
The tricky thing is that my data represent the time at which I recorded
certain events. However, in many cases I don't really know when the event
happened. I' only know the time at which I recorded
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