Causal Batch Effects R package causalBatch version 1.3.0 Software which provides numerous functionalities for detecting and removing group-level effects from high-dimensional scientific data which, when combined with additional assumptions, allow for causal conclusions, as-described in our manuscripts Bridgeford et al. (2024) <doi:10.1101/2021.09.03.458920> and Bridgeford et al. (2023) <doi:10.48550/arXiv.2307.13868>. Also provides a number of useful utilities for generating simulations and balancing covariates across multiple groups/batches of data via matching and propensity trimming for more than two groups. Software Depends: R (>= 4.2.0) Imports: cdcsis, sva, MatchIt, nnet, dplyr, magrittr, genefilter, BiocParallel, utils Suggests: tidyr, ggpubr, knitr, rmarkdown, parallel, testthat (>= 3.0.0), covr, roxygen2, ks, ggplot2 Eric W. Bridgeford <ericwb95@gmail.com> Comprehensive R Archive Network (CRAN) Eric W. Bridgeford [aut, cre], Michael Powell [ctb], Brian Caffo [ctb], Joshua T. Vogelstein [ctb] GPL-3 2025-01-07 application/tgz https://CRAN.R-project.org/package=causalBatch doi:10.32614/CRAN.package.causalBatch