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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 |
| 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 |
Documentation:
Downloads:
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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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