Covariate Balance Tables and Plots
Efficiently compute scalar balance statistics
Visualize Distributional Balance
Balance Statistics for CBPS Objects
Balance Statistics for cem Objects
Balance Statistics for Other Objects
Balance Statistics for designmatch Objects
Balance Statistics for ebalance Objects
Balance Statistics for Data Sets
Balance Statistics for Matching Objects
Balance Statistics for MatchIt Objects
Balance Statistics for MatchThem Objects
Balance Statistics for optmatch Objects
Balance Statistics for twang Objects
Display Balance Statistics in a Table
Balance Statistics for sbw Objects
Balance Statistics for Longitudinal Datasets
Balance Statistics for WeightIt Objects
Balance Statistics in bal.tab and love.plot
Compute Balance and Summary Statistics for Covariates
Using bal.tab() with Clustered Data
Using bal.tab() with Multiply Imputed Data
Using bal.tab() with Longitudinal Treatments
Using bal.tab() with Multi-Category Treatments
Using bal.tab() with Subclassified Data
cobalt: Covariate Balance Tables and Plots
Options for Displaying bal.tab() Output
Convenient Formula Generation
Extract Weights from Preprocessing Objects
Display Balance Statistics in a Love Plot
Print Results of a Call to bal.tab()
Set and Get Options in cobalt
Split and Unsplit Factors into Dummy Variables
Extract Variable Names from bal.tab Objects
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.
Useful links