Learn R Programming
⚠️There's a newer version (1.3.9) of this package.Take me there.

PSAboot (version 1.1.3)

Bootstrapping for Propensity Score Analysis

Description

Bootstrapping for propensity score analysis and matching.

Copy Link

Version

Install

install.packages('PSAboot')

Monthly Downloads

329

Version

1.1.3

License

GPL

Issues

0

Pull Requests

0

Stars

13

Forks

3

Maintainer

Jason Bryer

Last Published

November 4th, 2015

Functions in PSAboot (1.1.3)

print.PSAbootSummary

Print method for PSAboot Summary.
pisa.psa.cols

Character vector representing the list of covariates used for estimating propensity scores.
summary.PSAboot

Summary of pooled results from PSAboot
boot.matching

Matching package implementation for bootstrapping.
balance

Returns a summary of the balance for all bootstrap samples.
hist.PSAboot

Histogram of PSA bootstrap results
print.PSAboot

Print results of PSAboot
matrixplot

Matrix Plot of Boostrapped Propensity Score Analysis
plot.PSAboot

Plot the results of PSAboot
getPSAbootMethods

Returns a vector with the default methods used by PSAboot.
boot.rpart

Stratification using classification trees for bootstrapping.
boxplot.PSAboot

Boxplot of PSA boostrap results.
psa.strata

Propensity Score Analysis using Stratification
q75

Returns the 75th percentile.
pisausa

Programme of International Student Assessment (PISA) results from the United States in 2009.
boot.matchit

MatchIt package implementation for bootstrapping.
print.PSAboot.balance

Print method for balance.
boxplot.PSAboot.balance

Boxplot of the balance statistics for bootstrapped samples.
as.data.frame.PSAbootSummary

Convert the results of PSAboot summary to a data frame.
balance.matching

Returns balance for each covariate from propensity score matching.
q25

Return the 25th percentile.
PSAboot-package

Bootstrapping for Propensity Score Analysis
pisalux

Programme of International Student Assessment (PISA) results from the Luxembourg in 2009.
boot.strata

Stratification implementation for bootstrapping.
plot.PSAboot.balance

Plot method for balance.
boot.ctree

Stratification using classification trees for bootstrapping.
PSAboot

Bootstraping for propensity score analysis
balance.matchit

Returns balance for each covariate using matchit