BT_EM                   Fit the Bradley-Terry model using the EM or MM
                        algorithm
BradleyTerryScalable    A package for fitting the Bradley-Terry model
                        to (potentially) large and sparse data sets.
btdata                  Create a btdata object
btfit                   Fits the Bradley-Terry model
btprob                  Calculates Bradley-Terry probabilities
citations               Statistics Journal Citation Data from Stigler
                        (1994)
codes_to_counts         Converts data frame with a code for wins to
                        counts of wins
coef.btfit              Extract coefficients of a 'btfit' object
fitted.btfit            Fitted Method for "btfit"
select_components       Subset a btdata object
simulate_BT             This function simulates one or more
                        pseudo-random datasets from a specified
                        Bradley-Terry model.  Counts are simulated from
                        independent binomial distributions, with the
                        binomial probabilities and totals specified
                        through the function arguments.
summary.btfit           Summarizing Bradley-Terry Fits
toy_data                A toy data set for the 'BradleyTerryScalable'
                        package
vcov.btfit              Calculate variance-covariance matrix for a
                        btfit object
