baysc: An R package for Bayesian survey clustering
Abstract
Model-based clustering methods allow a large number of correlated variables to be summarized into underlying patterns, where each pattern describes a cluster and each individual is assigned to a cluster.Example applications include identifying dietary patterns from dietary intake data (Stephenson et al., 2020) and creating profiles of health and development among children (Lanza & Cooper, 2016).Bayesian formulations of such analyses allow the number of clusters to be determined by the data rather than through researcher post-hoc analyses.
Fields of Study & Subjects
Bayesian Methods and Mixture Models
Advanced Clustering Algorithms Research
Data Analysis with R
Publication details
- Journal / source
- The Journal of Open Source Software
- Volume
- 11
- Issue
- 119
- Pages
- 8382–8382
- Publication date
- 11 March 2026
- Language
- EN