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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
DOI: 10.32614/CRAN.package.LoBrA
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

Documentation:

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

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 form https://CRAN.R-project.org/package=LoBrA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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