maoyinan/BayesPC: R package for Bayesian Projection Clustering

Implement functions in support of manuscript "Bayesian clustering using random effects models and predictive projections". The main goal of the algorithm is to cluster longitudinal data with freely spaced time points into several clusters based on chosen random effects in a Bayesian linear mixed model setting. Cluster number optimisation is integrated within, while manual selection is also allowed. A few traditional clustering methods are included to benchmark with BayesPC. Example of a simulated dataset is supplied to demonstrate the algorithm usage.

install.packages("remotes")
remotes::install_github("maoyinan/BayesPC")