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_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 |