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 ucd.ie> |
| 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: multiMarker_1.0.zip, r-release: multiMarker_1.0.zip, r-oldrel: multiMarker_1.0.zip |
| macOS binaries: | r-release: multiMarker_1.0.tgz, r-oldrel: multiMarker_1.0.tgz |
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