Package: metadeconfoundR
Type: Package
Title: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional
        Data
Version: 1.0.5
Authors@R: c(person(given = "Till",
           family = "Birkner",
           role = c("aut", "cre"),
           email = "metadeconf@till-birkner.de",
           comment = c(ORCID = "0000-0003-2656-2821")),
           person(given = "Sofia Kirke",
           family = "Forslund-Startceva",
           role = "ctb",
           email = "Sofia.Forslund@mdc-berlin.de",
           comment = c(ORCID = "0000-0003-4285-6993")))
Maintainer: Till Birkner <metadeconf@till-birkner.de>
Description: 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.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/TillBirkner/metadeconfoundR
BugReports: https://github.com/TillBirkner/metadeconfoundR/issues
Imports: lmtest, foreach, parallel, doParallel, stats, logger, lme4,
        ggplot2, reshape2, methods, rlang, circlize, dplyr, ggraph,
        igraph, magrittr, scales, stringr
Depends: R (>= 3.5.0), detectseparation
Suggests: pander, knitr, gridExtra, kableExtra, testthat (>= 3.0.0),
        covr
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-02-04 13:56:54 UTC; tbirkne
Author: Till Birkner [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-2656-2821>),
  Sofia Kirke Forslund-Startceva [ctb] (ORCID:
    <https://orcid.org/0000-0003-4285-6993>)
Repository: CRAN
Date/Publication: 2026-02-04 14:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:46:19 UTC; unix
