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LoBrA: Generalized Spline Mixed Effect Models for Longitudinal BreathData

Automated analysis and modeling of longitudinal 'omics' data (e.g. breath 'metabolomics') using generalized spline mixed effect models. Including automated filtering of noise parameters and determination of breakpoints.

Version:1.0
Depends:R (≥ 3.5.0)
Imports:methods,lawstat,nlme, graphics,RColorBrewer, stats, base, grDevices,qpdf
Suggests:knitr,rmarkdown
Published:2022-03-21
DOI:10.32614/CRAN.package.LoBrA
Author:Anne-Christin HauschildORCID iD [aut, cre], Sandy P. Eckel [ths, com], Jan Baumbach [ths]
Maintainer:Anne-Christin Hauschild <achauschild at googlemail.com>
License:GPL-3
NeedsCompilation:no
Materials:README
CRAN checks:LoBrA results

Documentation:

Reference manual:LoBrA.html ,LoBrA.pdf
Vignettes:LoBrA: A Package for Modeling Longitudinal Breath Data (source)

Downloads:

Package source: LoBrA_1.0.tar.gz
Windows binaries: r-devel:LoBrA_1.0.zip, r-release:LoBrA_1.0.zip, r-oldrel:LoBrA_1.0.zip
macOS binaries: r-release (arm64):LoBrA_1.0.tgz, r-oldrel (arm64):LoBrA_1.0.tgz, r-release (x86_64):LoBrA_1.0.tgz, r-oldrel (x86_64):LoBrA_1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=LoBrAto link to this page.


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