In package MASS there is the fitdistr function using maximum likelihood estimation to infer on the parameters of distributions based on observed data.

One of the arguments of fitdistr () allows you to specify the probability density function.

You only know how the parametrization of your three parameters lognormal distribution is defined since you really haven't told us much.

Please have a look at fitdistr() and tell us if fit your needs.

Br. Frede


-------- Oprindelig meddelelse --------
Fra: Vito Ricci
Dato:17/01/2014 08.44 (GMT+01:00)
Til: Göran Broström ,r-help@stat.math.ethz.ch
Emne: Re: [R] Estimating parameters of 3 parameters lognormal distribution

Hi Goran,

thanks for your suggestion, but I believe it's not helpful for me...

phreg statement "Proportional hazards model with parametric baseline hazard(s).  Allows for stratification with dif-ferent scale and shape in each stratum, and left truncated and right censored data"

I've data whose distribution is lognormal with three parameters, I need to fit this model and its 3 parameters, especially the the 3rd, the theresold.
Regards.
VR



Se non ora, quando?
Se non qui, dove?
Se non tu, chi?



Il Venerdì 17 Gennaio 2014 8:26, Vito Ricci <vito_ricci@yahoo.com> ha scritto:

Many thanks for your suggestion.
>Regards.
>VR
>
>
>
>
>Se non ora, quando?
>Se non qui, dove?
>Se non tu, chi?
>
>
>
>Il Giovedì 16 Gennaio 2014 22:31, Göran Broström <goran.brostrom@umu.se> ha scritto:
>
>On 01/16/2014 04:59 PM, Vito Ricci wrote:
>>> Hi guys,
>>>
>>> is there in some R package a statement to fit parameters in a 3 parameters lognormal distribution.
>>
>>Yes, the function 'phreg' in the package 'eha'.
>>
>>Göran Broström
>>
>>
>>
>>> Many thanks
>>> Vito Ricci
>>>     [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
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>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read
 the posting guide http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>>
>>
>>
>>
>
>
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