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465 – SPEED: Statistical Computing: Methods, Implementation, and Application, Part 1
Creation of Two R Shiny Applications to Illustrate and Accompany the growClusters Package
Wendy Martinez
Bureau of Labor Statistics
Randall Powers
Bureau of Labor Statistics
Terrance D. Savitsky
Bureau of Labor Statistics
GrowClusters is an R package that estimates a clustering or partition structure for multivariate data. Estimation is performed under a penalized optimization derived from Bayesian non-parametric formulations. This is done either under a Dirichlet process (DP) mixing measure or a hierarchical DP (HDP) mixing measure in the limit of the global variance (to zero). The latter set-up allows for a collection of dependent, local partitions. This paper describes the growClusters algorithm, but will focus on the creation of an R Shiny application designed to visually illustrate the operation and functionality of the growClusters package. Examples of the utility and functionality of the R Shiny application will be highlighted.