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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