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 [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

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