[R] combining two distributions

Alaios alaios at yahoo.com
Tue Dec 9 08:24:40 CET 2014

Hi,thanks a lot for the answer. I think that my problem is before packages. I have a large amount of different datasets and I had a random look on their histograms. I know that some of them look like the combination I have explained (exponential+pareto, exponential+gamma) but I am not sure still.I wanted to know if there is a "preliminary" approach where a fitting algorithms tries some of the suggested combinations and give me hints where to focus my future research.I will have a look on the package you suggested.

     On Monday, December 8, 2014 11:23 PM, Spencer Graves <spencer.graves at prodsyse.com> wrote:

       Have you considered "distr" and related packages?

      If this does not solve your problem, have you considered 
searching with "findFn" in the "sos" package?  If that still does not 
produce sufficient enlightenment, please try this list again with 
"commented, minimal, self-contained, reproducible code" describing what 
you want in a bit more detail (as indicated at the end of emails on this 


On 12/8/2014 10:45 AM, Alaios via R-help wrote:
> (I am sorry if you have received this email twice but it does not look sent on my client)
>  Hi all,I am having some heavy tailed data and I am trying to think of the more appropriate package for the fitting.The canonical try should be something like exponential and pareto or exponential + gamma (or gamma + gamma with different shape parameters). I am trying to have one distribution that is "classical" thin tailed one and another one which is more like a power law or close (pareto,gamma,weibull, log-normal).
> Do you have any recommendation with which packages I can start on and if the functions you have in mind they can also provide information like AIC or BIC so to help me choose the best combinations?
> I would like to thank you in advance for your help
> RegardsAlex
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