multiMarker - Latent Variable Model to Infer Food Intake from Multiple
Biomarkers
A latent variable model based on factor analytic and
mixture of experts models, designed to infer food intake from
multiple biomarkers data. The model is framed within a Bayesian
hierarchical framework, which provides flexibility to adapt to
different biomarker distributions and facilitates inference on
food intake from biomarker data alone, along with the
associated uncertainty. Details are in D'Angelo, et al. (2020)
<arXiv:2006.02995>.
