require(PSAboot)
data(lalonde, package='MatchIt')
t.test(re78 ~ treat, data=lalonde) # Unadjusted difference
boot.matchit.genetic <- function(Tr, Y, X, formu, ...) {
return(boot.matchit(Tr=Tr, Y=Y, X=X, formu=formu, method='genetic', ...))
}
#TODO:
# Add eta^2 for each bootstrap sample.
# Get effect size too.
# Permutation tests
lalonde.formu <- treat ~ age + I(age^2) + educ + I(educ^2) + black +
hispan + married + nodegree + re74 + I(re74^2) + re75 + I(re75^2) +
re74 + re75
table(lalonde$treat)
boot.lalonde <- PSAboot(Tr=lalonde$treat,
Y=lalonde$re78,
X=lalonde,
formu=lalonde.formu,
M=100, seed=2112, parallel=TRUE,
control.sample.size=429, control.replace=TRUE,
treated.sample.size=185, treated.replace=TRUE )
summary(boot.lalonde)
plot(boot.lalonde)
hist(boot.lalonde)
boxplot(boot.lalonde)
matrixplot(boot.lalonde)
boot.lalonde.bal <- balance(boot.lalonde)
boot.lalonde.bal
plot(boot.lalonde.bal)
boxplot(boot.lalonde.bal)
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