Dear R users,
This is a basic question.
I want to fit a Weibull distribution. fitdistr(data, "weibull") works and it
is a maximum likelihood fitting. Is it a good method ? Or is it better to
write a function for the log-likelihood and the gradient and to use a
numerical routine ?
Fitdistr works for uncensored data, but what can I use for censored (and
uncensored) data ?
Thank you very much
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