Package: multiMarker 1.0.1

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>.

Authors:Silvia D'Angelo [aut, cre], Claire Gormley [ctb], Lorraine Brennan [ctb]

multiMarker_1.0.1.tar.gz
multiMarker_1.0.1.zip(r-4.7)multiMarker_1.0.1.zip(r-4.6)multiMarker_1.0.1.zip(r-4.5)
multiMarker_1.0.1.tgz(r-4.6-any)multiMarker_1.0.1.tgz(r-4.5-any)
multiMarker_1.0.1.tar.gz(r-4.7-any)multiMarker_1.0.1.tar.gz(r-4.6-any)
multiMarker_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
multiMarker/json (API)

# Install 'multiMarker' in R:
install.packages('multiMarker', repos = c('https://silviadangelo.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 61 downloads 1 mentions 1 exports 2 dependencies

Last updated from:68ceb32ac1. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE105
source / vignettesOK126
linux-release-x86_64NOTE97
macos-release-arm64NOTE121
macos-oldrel-arm64NOTE123
windows-develNOTE66
windows-releaseNOTE58
windows-oldrelNOTE63
wasm-releaseOK86

Exports:multiMarker

Dependencies:ordinalNettruncnorm