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.">

causalBatch: Causal Batch Effects (original) (raw)

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: 1.3.0
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
Published: 2025-01-07
DOI: 10.32614/CRAN.package.causalBatch
Author: Eric W. Bridgeford [aut, cre], Michael Powell [ctb], Brian Caffo [ctb], Joshua T. Vogelstein [ctb]
Maintainer: Eric W. Bridgeford
License: GPL-3
URL: https://github.com/neurodata/causal_batch
NeedsCompilation: no
Citation: causalBatch citation info
CRAN checks: causalBatch results [issues need fixing before 2025-05-15]

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