Dear R users,
I have been trying to understand what the Weights arguments is doing in the
estimation of the parameters when using the Surreg function.
I looked through the function's code but I am not sure if I got it or not.
For example, if I inclue the Surv function in it:
survreg(Surv(vector, status)~1,weights=vector2,dist="Weibull")
will it try to maximize the likelihood with a weight on each density
function f (when non-censored) and 1-distribution, 1-F (censored case)?
Can anyone tell me if I'm in the right way?
Thank you very much,
Boris
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