# Covariate Balance Tables and Plots

## Documentation for package ‘cobalt’ version 4.6.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

available.stats | Efficiently compute scalar balance statistics
bal.compute | Efficiently compute scalar balance statistics
bal.compute.bal.init | Efficiently compute scalar balance statistics
bal.compute.default | Efficiently compute scalar balance statistics
bal.init | Efficiently compute scalar balance statistics
bal.plot | Visualize Distributional Balance
bal.tab | Display Balance Statistics in a Table
bal.tab.CBPS | Balance Statistics for 'CBPS' Objects
bal.tab.cem.match | Balance Statistics for 'cem' Objects
bal.tab.data.frame | Balance Statistics for Data Sets
bal.tab.data.frame.list | Balance Statistics for Longitudinal Datasets
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 | Balance Statistics for Data Sets
bal.tab.formula.list | Balance Statistics for Longitudinal Datasets
bal.tab.Match | Balance Statistics for 'Matching' Objects
bal.tab.matchit | Balance Statistics for 'MatchIt' Objects
bal.tab.matrix | Balance Statistics for Data Sets
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.time.list | Balance Statistics for Longitudinal Datasets
bal.tab.weightit | Balance Statistics for 'WeightIt' Objects
balance-statistics | Balance Statistics in 'bal.tab' and 'love.plot'
balance-summary | Compute Balance and Summary Statistics for Covariates
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
col_w_corr | Compute Balance and Summary Statistics for Covariates
col_w_cov | Compute Balance and Summary Statistics for Covariates
col_w_dcorr | Compute Balance and Summary Statistics for Covariates
col_w_dcov | Compute Balance and Summary Statistics for Covariates
col_w_ks | Compute Balance and Summary Statistics for Covariates
col_w_mean | Compute Balance and Summary Statistics for Covariates
col_w_ovl | Compute Balance and Summary Statistics for Covariates
col_w_sd | Compute Balance and Summary Statistics for Covariates
col_w_smd | Compute Balance and Summary Statistics for Covariates
col_w_vr | Compute Balance and Summary Statistics for Covariates
display-options | Options for Displaying 'bal.tab()' Output
f.build | Convenient Formula Generation
get.cobalt.options | Set and Get Options in 'cobalt'
get.w | Extract Weights from Preprocessing Objects
get.w.CBMSM | Extract Weights from Preprocessing Objects
get.w.CBPS | Extract Weights from Preprocessing Objects
get.w.cem.match | Extract Weights from Preprocessing Objects
get.w.designmatch | Extract Weights from Preprocessing Objects
get.w.ebalance | Extract Weights from Preprocessing Objects
get.w.iptw | Extract Weights from Preprocessing Objects
get.w.Match | Extract Weights from Preprocessing Objects
get.w.matchit | Extract Weights from Preprocessing Objects
get.w.mimids | Extract Weights from Preprocessing Objects
get.w.mnps | Extract Weights from Preprocessing Objects
get.w.optmatch | Extract Weights from Preprocessing Objects
get.w.ps | Extract Weights from Preprocessing Objects
get.w.ps.cont | Extract Weights from Preprocessing Objects
get.w.sbwcau | Extract Weights from Preprocessing Objects
get.w.weightit | Extract Weights from Preprocessing Objects
get.w.wimids | Extract Weights from Preprocessing Objects
lalonde | Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).
lalonde_mis | Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).
love.plot | Display Balance Statistics in a Love Plot
print.bal.tab | Print Results of a Call to 'bal.tab()'
set.cobalt.options | Set and Get Options in 'cobalt'
splitfactor | Split and Unsplit Factors into Dummy Variables
unsplitfactor | Split and Unsplit Factors into Dummy Variables
var.names | Extract Variable Names from 'bal.tab' Objects