Created to handle multinomial logistic regression for correlated data using clustered bootstrapping. Functions to create bootstrapped data sets from an original data frame; fit multinomial regression models to those data sets using vglm(); and calculate and plot odds ratios, predicted probabilities, 95% confidence limits, and Wald p-values from resulting model estimates.
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