I can able to calculate the propensity score using classification tree
method.
And if i am trying to find the PS matching i am getting error.(Error in
Match(Y = Y, Tr = Tr, X = ps0) : length(Y) != length(Tr))
Propensity score matching:
library("rgenoud")
library("Matching")
data("Passport")
attach("Passport")
Y<-Passport$A3
Tr<-Passport$fserv_cd
rr1<-Match(Y=Y, Tr = Tr, X= glm1$fitted)
[in above command i am getting Error in Match(Y = Y, Tr = Tr, X = ps0) :
length(Y) != length(Tr)]
Matchbalance(fserv_cd~ A4,match.out=rr1,nboots=1000,data=Passport)
Please suggest me right approach for Propensity score matching using
classification trees(if possible code me) .
ps0-propensity score values
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