Bootstrapping for Propensity Score Analysis

[Up] [Top]

Documentation for package ‘PSAboot’ version 1.3.8

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 Bootstrapping for propensity score analysis
q25 Return the 25th percentile.
q75 Returns the 75th percentile.
summary.PSAboot Summary of pooled results from PSAboot