> On May 3, 2017, at 9:08 AM, Collins Ochieng Onyanga <collins at
aims.ac.tz> wrote:
>
> Dear All,
>
> I hope you are doing well, I have a problem fitting the *general Beta
> distribution* to my data. Any help will be highly appreciated.
There may be people reading the list who will immediately know a function that
meets your expectations, but it would be safer if you would point to a reference
that mathematically defines those expectations. When I do a google search on
"general Beta distribution" I am told that a "generalized Beta
distribution" just involves jiggling a bit with the location and shape
parameters:
http://www.itl.nist.gov/div898/handbook/eda/section3/eda366h.htm
... and that leads me to believe that the ordinary dpq-beta functions in the
stats package should be sufficient.
You really _should_ read the Posting Guide and after taking time to do that
(perhaps needing 2 or 3 read-throughs) , post a small example that illustrates
your data and any coding efforts.
--
David.
>
> Thanks
>
> --
>
> Collins Ochieng onyaga
> AIMS Tanzania student 2016/2017
> Skype: collins7952
>
> --
>
> *AIMS-Tanzania*
>
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>
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
David Winsemius
Alameda, CA, USA