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PSAboot (version 1.1.3)
Bootstrapping for Propensity Score Analysis
Description
Bootstrapping for propensity score analysis and matching.
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Version
1.3.6
1.1.4
1.1.3
1.0
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Install
install.packages('PSAboot')
Monthly Downloads
687
Version
1.1.3
License
GPL
Issues
0
Pull Requests
0
Stars
12
Forks
3
Repository
http://github.com/jbryer/PSAboot
Homepage
http://jason.bryer.org/PSAboot
Maintainer
Jason Bryer
Last Published
November 4th, 2015
Functions in PSAboot (1.1.3)
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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