R-Language Choice Modeling
One of the world’s most sophisticated choice-modeling programs is the creation of Decision Analyst’s programmers. Written in the R-Language, ChoiceModelR™ is ideal for large datasets with complex variables. It handles discrete variables (nominal or ordinal) and probabilistic variables. Multiple constraints may be imposed on model parameters. The number of choice observations per respondents may vary, and the number of choice alternatives per observation is flexible. ChoiceModelR® is freely shared with anyone who wants a copy.