Package: multiMarker 1.0.1

Silvia DAngelo

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://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 61 downloads 1 mentions 1 exports 2 dependencies

Last updated from:ea5fcd69a3 (on package/multiMarker). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE97
source / vignettesOK154
linux-release-x86_64NOTE100
macos-release-arm64NOTE79
macos-oldrel-arm64NOTE77
windows-develNOTE65
windows-releaseNOTE64
windows-oldrelNOTE61
wasm-releaseOK80

Exports:multiMarker

Dependencies:ordinalNettruncnorm