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