Software

• MSFAST Bayesian Multivariate Sparse FPCA | Supporting material for the manuscript introducing the MSFAST approach to Bayesian Functional Principal Components Analysis for multivariate, sparsely-observed data. Includes STAN and R codes providing univariate and multivariate sparse data simulations comparing MSFAST with existing implementations, evaluating estimation accuracy and inference validity. Additionally includes a vignette illustrating a real analysis on the CONTENT child growth data.

• FAST Bayesian FPCA | Supporting material for the manuscript introducing the FAST approach to fitting Bayesian Functional Principal Components Analysis. Includes STAN and R codes providing simulation and model fitting routines comparing FAST with existing implementations on a simple simulation scenario and a multilevel scenario, evaluating estimation accuracy and inference validity.

• rGCI | Supporting R software for calculation of the novel Glucose Color Index (GCI) frequency-domain summary of Continuous Glucose Monitoring Data. Includes tools for calculating the smoothed log-periodogram using two weeks of glucose data, summarizing this function into 6 measures using a piece-wise linear model, and finally producing the GCI using weights derived via canonical correlation analysis.