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coda4microbiome: Compositional Data Analysis for Microbiome Studies
Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
| Version: |
0.2.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
corrplot, glmnet, plyr, pROC, ggpubr, ggplot2, ComplexHeatmap, circlize, survival, survminer |
| Suggests: |
rmarkdown |
| Published: |
2024-02-21 |
| Author: |
Malu Calle  [aut],
Toni Susin [aut,
cre],
Meritxell Pujolassos
[aut] |
| Maintainer: |
Toni Susin <toni.susin at upc.edu> |
| BugReports: |
https://github.com/malucalle/coda4microbiome/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://malucalle.github.io/coda4microbiome/ |
| NeedsCompilation: |
no |
| CRAN checks: |
coda4microbiome 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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