bcf: Bayesian Coin Flip
In tomshafer/bcf: Bayesian Coin Flip
Description
The bcf package simulates turn-based head-to-head competitions by
approximating such games as simple coin flips. Each player or team is modeled
as a coin with some probability distribution for landing heads-up in a given
flip. The player or team that obtains a Heads result first wins, and ties are
broken by running sub-games among the participating players as necessary.
Details
Players' or teams' posterior distributions are obtained via Approximate
Bayesian Computation (abc_coin_flip_game').
tomshafer/bcf documentation built on May 18, 2019, 9:14 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The bcf package simulates turn-based head-to-head competitions by
approximating such games as simple coin flips. Each player or team is modeled
as a coin with some probability distribution for landing heads-up in a given
flip. The player or team that obtains a Heads result first wins, and ties are
broken by running sub-games among the participating players as necessary.
Details
Players' or teams' posterior distributions are obtained via Approximate
Bayesian Computation (abc_coin_flip_game').
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.