# Hierarchical Bayes estimation in Conjoint Analysis

I require some assistance with HLM Conjoint Analysis.

Say a preference-survey asks multiple respondents which of three products they prefer, using different combinations of product features (each respondent answers multiple times with different product combinations each time). For example, a single choice may be do you prefer:

• medium blue car priced at $20,000 • small red car priced at$16,000

• large yellow car priced at \$19,000

How would I create utility / feature coefficients from such data? I am looking to create coefficients for each product feature (e.g. Car colour: blue, red, yellow) for every individual respondent using HLM. Is there a R package that is capable of this?