Package index • cobalt

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 Objects

bal.tab(<cem.match>): Balance Statistics for cem Objects

bal.tab(<default>): Balance Statistics for Other Objects

bal.tab(<designmatch>): Balance Statistics for designmatch Objects

bal.tab(<ebalance>): Balance Statistics for ebalance Objects

bal.tab(<formula>) bal.tab(<data.frame>) bal.tab(<matrix>): Balance Statistics for Data Sets

bal.tab(<matchit>): Balance Statistics for MatchIt Objects

bal.tab(<mimids>): Balance Statistics for MatchThem Objects

bal.tab(<optmatch>): Balance Statistics for optmatch Objects

bal.tab(<ps>): Balance Statistics for twang Objects

bal.tab(<sbwcau>): Balance Statistics for sbw Objects

bal.tab(<formula.list>) bal.tab(<data.frame.list>): Balance Statistics for Longitudinal Datasets

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-statistics: Balance Statistics in bal.tab and love.plot

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() col_w_dcov() col_w_dcorr(): Compute Balance and Summary Statistics for Covariates

bal.compute() bal.init() available.stats(): Efficiently compute scalar balance statistics

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: Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).