TillBirkner/metadeconfoundR: Check Multiple Covariates for Potenial Confounding Effects

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. The generated output can be graphically summarized using the built-in plotting function.

install.packages("remotes")
remotes::install_github("TillBirkner/metadeconfoundR")