One approach is to build an agent to play the game repeatably and then calculate the winning odds if a particular card is played. The logical first step is to implement a playable version of the game using R.
http://www.personeel.unimaas.nl/g-chaslot/papers/ACGSzitaChaslotSpronck.pdf On Mon, Mar 11, 2013 at 2:02 AM, Peter Ehlers <ehl...@ucalgary.ca> wrote: > On 2013-03-10 10:49, Lorenzo Isella wrote: >> >> Dear All, >> Unfortunately, I cannot come up with a script or a concrete example at >> this stage. >> I am trying to investigate statistically a card game (not a game like >> poker, but something more like Magic). >> There are various kinds of cards (agents, missions, victory points) each >> obeying a given set of rules. >> The purpose of the statistical analysis is to come up with a measure of >> the strength of each card. >> Any idea if "out there" there is any R package/script which can help me? >> Any suggestion is welcome >> >> Lorenzo > > > Why not simulate? > > Peter Ehlers > > > ______________________________________________ > R-help@r-project.org mailing list > 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. ______________________________________________ R-help@r-project.org mailing list 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.
