R help - Jun 2011 - packages for power law distribution

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Dear All,

I will appreciate some
suggestions of R packages for "ESTIMATION OF THE EXPONENT OF
POWER-LAW FREQUENCY DISTRIBUTIONS".  I have been searching at
the R-help list several keywords for this subject and I did not find
a very specific package, except the useful normalp package.  I
believe there are others but I was not able to identify it.  I have
interest in the exponent of power-law distribution of some events
(only frequency) and "not" bivariate relationships between
two variable.  Specifically I am looking for packages that has
functions of "pareto, truncate pareto, discrete pareto and power
law function" with maximum likelihood estimation.  What would be
the suggestions for that?

Thanks a lot for your
attention.
Sincerely,
Fernando



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There's code at http://tuvalu.santafe.edu/~aaronc/powerlaws/

   -thomas

On Sun, Jun 5, 2011 at 9:01 AM, fernando del bon
<fernandodelbon at yahoo.com.br> wrote:
>
>
>
>
>
>
> ? ? ? ?p { margin-bottom: 0.08in; }
>
> Dear All,
>
> I will appreciate some
> suggestions of R packages for "ESTIMATION OF THE EXPONENT OF
> POWER-LAW FREQUENCY DISTRIBUTIONS". ?I have been searching at
> the R-help list several keywords for this subject and I did not find
> a very specific package, except the useful normalp package. ?I
> believe there are others but I was not able to identify it. ?I have
> interest in the exponent of power-law distribution of some events
> (only frequency) and "not" bivariate relationships between
> two variable. ?Specifically I am looking for packages that has
> functions of "pareto, truncate pareto, discrete pareto and power
> law function" with maximum likelihood estimation. ?What would be
> the suggestions for that?
>
> Thanks a lot for your
> attention.
> Sincerely,
> Fernando
>
>
>
> ? ? ? ?[[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.
>


-- 
Thomas Lumley
Professor of Biostatistics
University of Auckland