jenniferthompson/ClusterBootMultinom: Multinomial Logistic Regression Using Clustered Bootstrapping

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.

install.packages("remotes")
remotes::install_github("jenniferthompson/ClusterBootMultinom")