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 gmail.com>
License:	MIT + file LICENSE
URL:	https://github.com/neurodata/causal_batch
NeedsCompilation:	no
Citation:	causalBatch citation info
CRAN checks:	causalBatch results

Documentation:

Reference manual:	causalBatch.pdf
Vignettes:	cb.balancing cb.correct.causal_ccombat cb.detect.caus_cdcorr cb.simulations

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causalBatch to link to this page.