Preparing the data Functions for preparing a btdata object
codes_to_counts	Converts data frame with a code for wins to counts of wins
btdata summary	Create a btdata object
select_components	Subset a btdata object
Fitting the Bradley-Terry model Function to create a btfit object
btfit	Fits the Bradley-Terry model
Functions taking a `btfit` object Functions and methods for a btfit object
summary	Summarizing Bradley-Terry Fits
coef	Extract coefficients of a 'btfit' object
vcov	Calculate variance-covariance matrix for a btfit object
fitted	Fitted Method for "btfit"
btprob	Calculates Bradley-Terry probabilities
simulate_BT simulate	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.
Simulating from the Bradley-Terry model Functions to simulate from the Bradley-Terry model
simulate_BT simulate	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.
Datasets Toy datasets for demonstrating the BradleyTerryScalable workflow
citations	Statistics Journal Citation Data from Stigler (1994)
toy_data	A toy data set for the BradleyTerryScalable package