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