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.
- Version4.5.5
- R version≥ 3.3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release04/02/2024
Documentation
- VignetteCovariate Balance Tables and Plots: A Guide to the 'cobalt' Package
- VignetteFrequently Asked Questions
- VignetteUsing 'cobalt' with Longitudinal Treatments
- VignetteUsing 'love.plot()' To Generate Love Plots
- VignetteOptimizing Tuning Parameters for Balance
- VignetteUsing 'cobalt' with Other Preprocessing Packages
- VignetteUsing 'cobalt' with Clustered, Multiply Imputed, and Other Segmented Data
- MaterialREADME
- MaterialNEWS
- In ViewsCausalInference
- In ViewsMissingData
Team
Noah Greifer
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- Depends1 package
- Imports10 packages
- Suggests20 packages
- Reverse Imports6 packages
- Reverse Suggests10 packages