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I could not find a package in R about Treatment Effect Analysis.

So is there a R package about Treatment Effect Analysis?

This means, estimating the average treatment effect, average treatment effect on the treated using different methods, including algorithms such as k-nearest-neighbour matching, caliper-matching and things like that?

I found single packages about k-nearest neighbour matching and matching itself (e.g. matching of FNN), but I could not find a comprehensive package about treatment effect analysis.

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This package looks very promising

http://cran.r-project.org/web/packages/nonrandom/vignettes/nonrandom.pdf

but I´ve sofar mostly used the MatchIt package.

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A couple of other packages to check out might be ri (randomization inference), MatchIt (provides various matching algorithms), and experiment (some basic ATE and LATE methods).

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