Since its release in 2013, RSG’s open-source software package, RSGHB, has been downloaded over 10,000 times, across 113 countries. RSGHB, available on The Comprehensive R Archive Network (CRAN), is designed to estimate Hierarchical Bayesian (HB) models from choice-based conjoint data, allowing users to run sophisticated models, which until RSGHB’s release required significant custom programming.
RSG’s Jeff Dumont and Jeff Keller created and maintain RSGHB and have won two consecutive “Best Poster” awards for RSGHB-related posters at the American Marketing Association’s annual Advance Research Techniques Forum.
RSGHB currently averages 450 downloads a month with top downloading countries including the US (31% of downloads), Japan (10%), China (9%), Germany (4%), Spain (4%), India (4%). We are proud to see RSG improving models around the world!