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 prediction of the intake along with its associated uncertainty. Details are in D'Angelo, et al. (2020) <arXiv:2006.02995>.

Version: 1.0
Depends: R (≥ 3.0)
Imports: truncnorm, ordinalNet
Published: 2020-07-02
Author: Silvia D'Angelo [aut, cre], Claire Gormley [ctb], Lorraine Brennan [ctb]
Maintainer: Silvia D'Angelo <silvia.dangelo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: multiMarker results


Reference manual: multiMarker.pdf
Package source: multiMarker_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: multiMarker_1.0.tgz, r-oldrel: multiMarker_1.0.tgz


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