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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.
Getting started
Package overview
README.md
Covariate Balance Tables and Plots: A Guide to the `cobalt` Package
Frequently Asked Questions
Optimizing Tuning Parameters for Balance
Using `cobalt` with Clustered, Multiply Imputed, and Other Segmented Data
Using `cobalt` with Longitudinal Treatments
Using `cobalt` with Other Preprocessing Packages
Using `love.plot()` To Generate Love Plots
Browse package contents
Package details |
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| Author | Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>) |
| Maintainer | Noah Greifer <noah.greifer@gmail.com> |
| License | GPL (>= 2) |
| Version | 4.6.0 |
| URL | https://ngreifer.github.io/cobalt/ https://github.com/ngreifer/cobalt |
| Package repository | View on CRAN |
| Installation |
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