Implements Group Fused Multinomial Regression
Description
Software to implement methodology to preform automatic response category
combinations in multinomial logistic regression. There are functions for both cross validation
and AIC for model selection. The method provides regression coefficient estimates
that may be useful for better understanding the true probability distribution of
multinomial logistic regression when category probabilities are similar. These methods are not
recommended for a large number of predictor variables.