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-4.5)multiMarker_1.0.1.zip(r-4.4)multiMarker_1.0.1.zip(r-4.3)
multiMarker_1.0.1.tgz(r-4.4-any)multiMarker_1.0.1.tgz(r-4.3-any)
multiMarker_1.0.1.tar.gz(r-4.5-noble)multiMarker_1.0.1.tar.gz(r-4.4-noble)
multiMarker_1.0.1.tgz(r-4.4-emscripten)multiMarker_1.0.1.tgz(r-4.3-emscripten)
multiMarker.pdf |multiMarker.html
multiMarker/json (API)

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

Peer review:

On CRAN:

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

1.00 score 163 downloads 1 mentions 1 exports 2 dependencies

Last updated 4 years agofrom:68ceb32ac1. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winNOTENov 21 2024
R-4.5-linuxNOTENov 21 2024
R-4.4-winNOTENov 21 2024
R-4.4-macNOTENov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:multiMarker

Dependencies:ordinalNettruncnorm