causalBatch: Causal Batch Effects

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.

Version: 1.2.0
Depends: R (≥ 4.2.0)
Imports: cdcsis, sva, MatchIt, nnet, dplyr, magrittr
Suggests: tidyr, knitr, rmarkdown, parallel, testthat (≥ 3.0.0), covr, roxygen2, ks, ggplot2
Published: 2024-03-01
Author: Eric W. Bridgeford [aut, cre], Michael Powell [ctb], Brian Caffo [ctb], Joshua T. Vogelstein [ctb]
Maintainer: Eric W. Bridgeford <ericwb95 at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: causalBatch citation info
CRAN checks: causalBatch results


Reference manual: causalBatch.pdf
Vignettes: cb.balancing


Package source: causalBatch_1.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): causalBatch_1.2.0.tgz, r-oldrel (arm64): causalBatch_1.2.0.tgz, r-release (x86_64): causalBatch_1.2.0.tgz
Old sources: causalBatch archive


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