mRchmadness is not designed to predict the winners of tournament games, but it is designed to answer the question: Given the true probabilities dictating tournament results and given the probabilities with which my pool opponents make their picks, what bracket maximizes my chances of winning my pool? To answer this question, we simulate tournament results and opponent picks over and over again, testing a set of candidate brackets against pool opponents in each simulation and choosing the bracket that performs best.
# For the latest version of the package, updated frequently during the first
# couple weeks of March, install directly from this GitHub repository.
devtools::install_github('elishayer/mRchmadness')
# If you're not using this R package to fill out a bracket on a deadline, you
# might prefer to install the latest stable version from CRAN.
install.packages('mRchmadness')# For a tutorial on the primary use case of the package, check out the vignette
vignette('mRchmadness')For those who prefer a point-and-click interface, check out our Shiny app.
You can also use the Shiny app locally by running
shiny::runApp('inst/shinyApp') from the mRchmadness directory.