LoBrA: Generalized Spline Mixed Effect Models for Longitudinal Breath Data

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
Author: Anne-Christin Hauschild ORCID 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


Reference manual: LoBrA.pdf
Vignettes: LoBrA: A Package for Modeling Longitudinal Breath Data


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


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