How to access matched dataset after using `CBPS` package of R?

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I am using CBPS package of R for propensity score matching of a dataset with a two levels treatment group.
This the code I wrote:

fit <- CBPS(formula=formu1, data = data2, ATT = TRUE, twostep = FALSE, standardize = TRUE)
    
rr.att.CBPS <- Match(Y=Y, Tr=Tr, X=fitted(fit), M=1, ties=FALSE, replace=FALSE, estimand='ATT')

But, how can I access the matched dataset for analysis?

propensity-score-matching r
1 Answers

I recommend you to use MatchIt package instead.
Imagine a dataset called 'dataset' with a binary treatment group(T) and some other covariates (V1,V2,V3) , and a target variable(p).

install.packages("MatchIt")   #if not installed before
library("MatchIt")     #importing MatchIt

# Formula for matching(include other covariates which treatment groups will be matched based on them, eg. V1 & V2)
formula <- "T ~ V1+V2"
formula <- as.formula(formula)    #making formula format

#implementing matching process with nearest neighbour method with 2:1 ratio by logistic regression
matched_data <- matchit(formula, method = "nearest", ratio = 2, data = dataset, link = "logit")

# assigning matched data to a variable which then can be used for further analysis such as regression
final_matched <- match.data(mached_data)


# Absolute standardized mean difference plot of variables used to match for assessment of balance before and after matching
plot(summary(matched_data))
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