Fits the Bradley-Terry Model to Potentially Large and Sparse Networks of Comparison Data


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Documentation for package ‘BradleyTerryScalable’ version 0.1.0

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BradleyTerryScalable-package A package for fitting the Bradley-Terry model to (potentially) large and sparse data sets.
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
BT_EM Fit the Bradley-Terry model using the EM or MM algorithm
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.btfit 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.
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.btdata Create a btdata object
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