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CRAN: Package metadeconfoundR

metadeconfoundR: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data

Using non-parametric tests, naive associations between omics features and metadata in cross-sectional data-sets are detected. In a second step, confounding effects between metadata associated to the same omics feature are detected and labeled using nested post-hoc model comparison tests, as first described in Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) <doi:10.1038/s41586-021-04177-9>. The generated output can be graphically summarized using the built-in plotting function.

Version: 1.0.2 Depends: R (≥ 3.5.0), detectseparation Imports: lmtest, foreach, parallel, doParallel, stats, futile.logger, lme4, ggplot2, reshape2, methods, rlang Suggests: pander, knitr, gridExtra, kableExtra Published: 2024-06-25 DOI: 10.32614/CRAN.package.metadeconfoundR Author: Till Birkner [aut, cre], Sofia Kirke Forslund-Startceva [ctb] Maintainer: Till Birkner <metadeconf at till-birkner.de> BugReports: https://github.com/TillBirkner/metadeconfoundR/issues License: GPL-2 URL: https://github.com/TillBirkner/metadeconfoundR NeedsCompilation: no Materials: README NEWS CRAN checks: metadeconfoundR results Documentation: Downloads: Linking:

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