search for: cbuddenhagen

...ement 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]]

...gt; >> >> >>> 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? >>> >>> Perha...

...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...

...think if I did I'd be reinventing the wheel, (and it'd be a big challenge for me). Also, I have been searching and not found such code, despite evidence that it has been coded (just not sure if it was in R). BTW I did write to authors of the article I cited, but no reply. Chris Buddenhagen cbuddenhagen at gmail.com On Wed, Jun 28, 2017 at 5:44 AM, Boris Steipe <boris.steipe at utoronto.ca> wrote: > 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 Je...

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)....

...ou are capable enough to implement it, while you have already identify a research paper. If there is no package out there, uploading to CRAN would help future user too. I am more than happy to help if you want to implement from scratch. Best, Mehmet On 27 June 2017 at 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., Berte...

...on 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: &gt...

...>>>> 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? >...

Does anyone know of example r-code/packages for carrying out analysis? Preferably this would have examples from real experimental data of two or more competing species... Thanks Chris Buddenhagen [[alternative HTML version deleted]]

To account for likely differences between families in naturalization rates, we fitted a generalized linear mixed model, using PROC NLMIXED in SAS10, with the naturalization rate per genus (that is, the number of naturalized species in a genus as a proportion of the total number of introduced species in a genus) as the response variable, a variable coding genera as containing at least one native