Reference

Primary Balance Assessment Functions
bal.tab()	Display Balance Statistics in a Table
bal.plot()	Visualize Distributional Balance
love.plot()	Display Balance Statistics in a Love Plot
bal.tab() Methods
bal.tab(<CBPS>)	Balance statistics for CBPS Objects
bal.tab(<Match>)	Balance Statistics for Matching, optmatch, ebal, and designmatch Objects
bal.tab(<cem.match>)	Balance Statistics for cem Objects
bal.tab(<default>)	Balance Statistics for Other Objects
bal.tab(<data.frame>) bal.tab(<formula>)	Balance Statistics for Data Sets
bal.tab(<data.frame.list>) bal.tab(<formula.list>)	Balance Statistics for Longitudinal Datasets
bal.tab(<matchit>)	Balance Statistics for MatchIt Objects
bal.tab(<mimids>)	Balance Statistics for MatchThem Objects
bal.tab(<ps>)	Balance Statistics for twang Objects
bal.tab(<sbwcau>)	Balance Statistics for sbw Objects
bal.tab(<weightit>)	Balance Statistics for WeightIt Objects
bal.tab() Classes
class-bal.tab.cluster	Using bal.tab() with Clustered Data
class-bal.tab.imp	Using bal.tab() with Multiply Imputed Data
class-bal.tab.msm	Using bal.tab() with Longitudinal Treatments
class-bal.tab.multi	Using bal.tab() with Multi-Category Treatments
class-bal.tab.subclass	Using bal.tab() with Subclassified Data
Balance and Display Options
balance.stats	Balance Statistics in bal.tab and love.plot
options-display display_options	Options for Displaying bal.tab() Output
Helper Functions
col_w_mean() col_w_sd() col_w_smd() col_w_vr() col_w_ks() col_w_ovl() col_w_cov() col_w_corr()	Compute Balance Statistics for Covariates
f.build()	Convenient Formula Generation
get.w()	Extract Weights from Preprocessing Objects
print(<bal.tab>)	Print Results of a Call to bal.tab()
set.cobalt.options() get.cobalt.options()	Set and Get Options in cobalt
splitfactor() unsplitfactor()	Split and Unsplit Factors into Dummy Variables
var.names()	Extract Variable Names from bal.tab Objects
Data
lalonde lalonde_mis	Lalonde's National Supported Work Demonstration Data