Covariate Balance Tables and Plots [R package cobalt version 4.6.1]

Noah Greifer

cobalt: Covariate Balance Tables and Plots

Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'WeightIt', 'MatchThem', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with multi-category, continuous, or longitudinal treatments.

Version: 4.6.1

Depends: R (≥ 4.1.0)

Imports: stats, utils, grid, grDevices, ggplot2 (≥ 3.5.0), gtable (≥ 0.3.6), gridExtra (≥ 2.3), chk (≥ 0.10.0), rlang (≥ 1.1.5), crayon (≥ 1.5.3)

Suggests: MatchIt (≥ 4.0.0), WeightIt (≥ 1.0.0), twang (≥ 1.6), twangContinuous, Matching, optmatch, ebal, CBPS (≥ 0.17), designmatch, optweight, mice (≥ 3.8.0), MatchThem (≥ 0.9.3), cem (≥ 1.1.30), sbw (≥ 1.1.5), gbm (≥ 2.1.7), brglm2 (≥ 0.9), caret, knitr, rmarkdown, testthat (≥ 3.0.0)

Published: 2025年08月20日

DOI: 10.32614/CRAN.package.cobalt

Author: Noah Greifer ORCID iD [aut, cre]

Maintainer: Noah Greifer <noah.greifer at gmail.com>

BugReports: https://github.com/ngreifer/cobalt/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://ngreifer.github.io/cobalt/, https://github.com/ngreifer/cobalt

NeedsCompilation: no

Materials: README, NEWS

In views: CausalInference, MissingData

CRAN checks: cobalt results

Documentation:

Reference manual: cobalt.html , cobalt.pdf

Vignettes: Covariate Balance Tables and Plots: A Guide to the 'cobalt' Package (source)
Frequently Asked Questions (source)
Using 'cobalt' with Longitudinal Treatments (source)
Using 'love.plot()' To Generate Love Plots (source)
Optimizing Tuning Parameters for Balance (source)
Using 'cobalt' with Other Preprocessing Packages (source)
Using 'cobalt' with Clustered, Multiply Imputed, and Other Segmented Data (source)

Downloads:

Package source: cobalt_4.6.1.tar.gz

Windows binaries: r-devel: cobalt_4.6.1.zip, r-release: cobalt_4.6.1.zip, r-oldrel: cobalt_4.6.1.zip

macOS binaries: r-release (arm64): cobalt_4.6.1.tgz, r-oldrel (arm64): cobalt_4.6.1.tgz, r-release (x86_64): cobalt_4.6.1.tgz, r-oldrel (x86_64): cobalt_4.6.1.tgz

Old sources: cobalt archive

Reverse dependencies:

Reverse imports: beastt, debiasedTrialEmulation, missDiag, MultiObjMatch, mvGPS, sim.BA, WeightIt

Reverse suggests: causalCmprsk, fwb, independenceWeights, insight, marginaleffects, MatchIt, MatchThem, nullranges, optweight, parameters, psborrow2

Linking:

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