| PSAboot-package | Bootstrapping for Propensity Score Analysis |
| as.data.frame.PSAbootSummary | Convert the results of PSAboot summary to a data frame. |
| balance | Returns a summary of the balance for all bootstrap samples. |
| balance.matching | Returns balance for each covariate from propensity score matching. |
| boot.ctree | Stratification using classification trees for bootstrapping. |
| boot.matching | Matching package implementation for bootstrapping. |
| boot.matchit | MatchIt package implementation for bootstrapping. |
| boot.rpart | Stratification using classification trees for bootstrapping. |
| boot.strata | Stratification implementation for bootstrapping. |
| boxplot.PSAboot | Boxplot of PSA bootstrap results. |
| boxplot.PSAboot.balance | Boxplot of the balance statistics for bootstrapped samples. |
| getPSAbootMethods | Returns a vector with the default methods used by 'PSAboot'. |
| hist.PSAboot | Histogram of PSA bootstrap results |
| matrixplot | Matrix Plot of Bootstrapped Propensity Score Analysis |
| pisa.psa.cols | Character vector representing the list of covariates used for estimating propensity scores. |
| pisalux | Programme of International Student Assessment (PISA) results from the Luxembourg in 2009. |
| pisausa | Programme of International Student Assessment (PISA) results from the United States in 2009. |
| plot.PSAboot | Plot the results of PSAboot |
| plot.PSAboot.balance | Plot method for balance. |
| print.PSAboot | Print results of PSAboot |
| print.PSAboot.balance | Print method for balance. |
| print.PSAbootSummary | Print method for PSAboot Summary. |
| psa.strata | Propensity Score Analysis using Stratification |
| PSAboot | Bootstrapping for propensity score analysis |
| q25 | Return the 25th percentile. |
| q75 | Returns the 75th percentile. |
| summary.PSAboot | Summary of pooled results from PSAboot |