[R] Nash equilibrium and other game theory tools implemented in networks using igraph or similar
Boris Steipe
boris.steipe at utoronto.ca
Wed Jun 28 11:44:31 CEST 2017
I responded to the unhelpful suggestion "Why don't you implement and uplad the package to CRAN?" No mention of a search engine. Is this what you are commenting on Jeff?
> On Jun 28, 2017, at 5:41 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
>
> In what way does reminding people that packages exist because others just like them contributed something count as being uncivil? Terse, perhaps, since it bypassed the obvious suggestion to use a search engine, but not rude.
> --
> Sent from my phone. Please excuse my brevity.
>
> On June 28, 2017 5:08:16 AM EDT, Boris Steipe <boris.steipe at utoronto.ca> wrote:
>> I don't think OP asked an unreasonable question at all.
>>
>> Civility!
>>
>>
>>
>>
>>> On Jun 27, 2017, at 2:00 PM, Suzen, Mehmet <mehmet.suzen at gmail.com>
>> wrote:
>>>
>>> Why don't you implement and uplad the package to CRAN?
>>>
>>> On 27 Jun 2017 17:45, "Chris Buddenhagen" <cbuddenhagen at gmail.com>
>> wrote:
>>>
>>> Does anyone know of some code, and examples that implement game
>> theory/Nash
>>> equilibrium hypothesis testing using existing packages like
>> igraph/statnet
>>> or similar?
>>>
>>> Perhaps along the lines of this article:
>>>
>>> Zhang, Y., Aziz-Alaoui, M. A., Bertelle, C., & Guan, J. (2014). Local
>> Nash
>>> Equilibrium in Social Networks, *4*, 6224.
>>>
>>> Best,
>>> Chris Buddenhagen
>>> cbuddenhagen at gmail.com
>>>
>>> [[alternative HTML version deleted]]
>>>
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>>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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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