R: Bootstrapping for Propensity Score Analysis

# Bootstrapping for Propensity Score Analysis

## Documentation for package ‘PSAboot’ version 1.3.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS

## Help Pages

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.
boot.weighting | Propensity score weighting implementation for bootstrapping.
boxplot.PSAboot | Boxplot of PSA bootstrap results.
boxplot.PSAboot.balance | Boxplot of the balance statistics for bootstrapped samples.
calculate_ps_weights | Calculates propensity score weights.
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 | Returns a vector with the default methods used by 'PSAboot()'.
q25 | Return the 25th percentile.
q75 | Returns the 75th percentile.
summary.PSAboot | Summary of pooled results from PSAboot