Covariate Balance Tables and Plots


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Documentation for package ‘cobalt’ version 4.3.1

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bal.plot Visualize Distributional Balance
bal.tab Display Balance Statistics in a Table
bal.tab.CBMSM Balance statistics for 'CBPS' Objects
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 'Matching', 'optmatch', 'ebal', and 'designmatch' Objects
bal.tab.ebalance Balance Statistics for 'Matching', 'optmatch', 'ebal', and 'designmatch' Objects
bal.tab.formula Balance Statistics for Data Sets
bal.tab.formula.list Balance Statistics for Longitudinal Datasets
bal.tab.iptw Balance Statistics for 'twang' Objects
bal.tab.list Balance Statistics for Longitudinal Datasets
bal.tab.Match Balance Statistics for 'Matching', 'optmatch', 'ebal', and 'designmatch' Objects
bal.tab.matchit Balance Statistics for 'MatchIt' Objects
bal.tab.mimids Balance Statistics for 'MatchThem' Objects
bal.tab.mnps Balance Statistics for 'twang' Objects
bal.tab.optmatch Balance Statistics for 'Matching', 'optmatch', 'ebal', and 'designmatch' Objects
bal.tab.ps Balance Statistics for 'twang' Objects
bal.tab.ps.cont 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
bal.tab.weightitMSM Balance Statistics for 'WeightIt' Objects
bal.tab.wimids Balance Statistics for 'MatchThem' Objects
balance.stats Balance Statistics in 'bal.tab' and 'love.plot'
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 Statistics for Covariates
col_w_cov Compute Balance Statistics for Covariates
col_w_ks Compute Balance Statistics for Covariates
col_w_mean Compute Balance Statistics for Covariates
col_w_ovl Compute Balance Statistics for Covariates
col_w_sd Compute Balance Statistics for Covariates
col_w_smd Compute Balance Statistics for Covariates
col_w_vr Compute Balance 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.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.sbwcau Extract Weights from Preprocessing Objects
get.w.weightit Extract Weights from Preprocessing Objects
get.w.wimids Extract Weights from Preprocessing Objects
lalonde Lalonde's National Supported Work Demonstration Data
lalonde_mis Lalonde's National Supported Work Demonstration Data
love.plot Display Balance Statistics in a Love Plot
options-display Options for Displaying 'bal.tab()' Output
plot.bal.tab 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