similar to: "Nash Equilibrium"

Is there an r package out there that solves for pure strategy* Nash equilibrium of a two-person game*? A search for Nash equilibrium in r provides a link to the *GNE* package which solves for the Generalized Nash equilibrium. But what I would like to solve is a pure strategy Nash equilibrium. [[alternative HTML version deleted]]

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

Hello Chris, I was implying you 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

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

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,

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

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

Thanks I too wondered about the tone. The first suggestion was that I should "google it" and the second, write my own code. I 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

There are many possible responses to the question "Is there a package to do X." Some that I can imagine are: * Yes, see package Y... * No, I am familiar with all 10000 packages and there isn't... * Silence (because no one who is paying attention is familiar with the one that exists) * Use a search engine... * You are a jerk because you did not use a search engine * Packages exist

Dear R wizards: is there a clean way to assign to elements in a list? what I would like to do, in pseudo R+perl notation is f <- function(a,b) list(a+b,a-b) (c,d) <- f(1,2) and have c be assigned 1+2 and d be assigned 1-2. right now, I use the clunky x <- f(1,2) c <- x[[1]] d <- x[[2]] rm(x) which seems awful. is there a nicer syntax? regards, /iaw ---- Ivo Welch

dear R experts---now I have a case where I want to estimate very large regression models with many fixed effects---not just the mean type, but cross-fixed effects---years, months, locations, firms. Many millions of observations, a few thousand variables (most of these variables are interaction fixed effects). could someone please point me to packages, if any, that would help me estimate such

dear R experts---I am using the coef() function to pick off the coefficients from an lm() object. alas, I also need the standard errors and I need them fast. I know I can do a "summary()" on the object and pick them off this way, but this computes other stuff I do not need. Or, I can compute (X' X)^(-1) s^2 myself. Has someone written a fast se() function? incidentally, I think

this is not an important question, but I wonder why lm returns an error, and whether this can be shut off. it would seem to me that returning NA's would make more sense in some cases---after all, the problem is clearly that coefficients cannot be computed. I know that I can trap the lm.fit() error---although I have always found this to be quite inconvenient---and this is easy if I have only

is it possible to throw a stop() that is so hard that it will escape even tryCatch? /iaw ---- Ivo Welch (ivo.welch at gmail.com)

dear R experts---is there a function that prints a data frame to a string? cat() cannot handle lists, so I cannot write cat("your data frame is:\n", df, "\n"). regards, /iaw ---- Ivo Welch (ivo.welch@gmail.com) [[alternative HTML version deleted]]

Dear R Wizards---is it possible to get R to show its current call stack (sys.calls()) upon an error abort? I don't use ESS for execution, and it is often not obvious how to locate how I triggered an error in an R internal function. Seeing the call stack would make this easier. (right now, I sprinkle "cat" statements everywhere, just to locate the line where the error appears.) Of

Dear R experts--- Has anyone written parallel versions of "by" (i.e., mcby) and "ave" (i.e. mcave) ? I did ask a question like this a year ago, and then the answer was no. for those who are googling the group for the answer to this question, in the meantime, the poor man's version of "by" is mclapply( split( ds, factor ), FUN ) I don't know the poor

dear r experts---Is there a multicore equivalent of by(), just like mclapply() is the multicore equivalent of lapply()? if not, is there a fast way to convert a data.table into a list based on a column that lapply and mclapply can consume? advice appreciated...as always. regards, /iaw ---- Ivo Welch (ivo.welch at gmail.com)

dear R experts: has someone written a function that returns the results of by() as a data frame? ??of course, this can work only if the output of the function that is an argument to by() is a numerical vector. presumably, what is now names(byobject) would become a column in the data frame, and the by object's list elements would become columns. it's a little bit like flattening the by()

dear R experts---I am trying to replicate a perl feature. I want to be able to embed R commands inside a character string, and have the string be printed with the command executed. my perl equivalent is my $a=10; my $teststring = "the expression, $a+1, is ::$a+1::, but add one more for ::$a+2::\n"; $teststring =~ s/::(.*?)::/$1/gee; print $teststring; of course, R does not use