Hello,
I'm using R package "matchIt" to estimate average treatment effect on the treated.
I have used the coarsened exact matching method in matchIt.
It gives me the results I need.
But I really don't understand how the variables have been coarsened since my varibales are dichotomious (they take values 0 or 1).
So I would like to understant how the corsening is done in the special case of nominal variables with 2 modalities.
Best regards,
Ikram Jebabali
I am new to MatchIt and R. I have successfully downloaded and opened
both programs, but I cannot figure out how to load my dataset into R
so MatchIt recognizes it. I have read both R manuals (which led me to
save my file as tab delimited) and the MatchIt manual. Can someone
walk me through this? Tanks
Paul
--
MatchIt mailing list served by Harvard-MIT Data Center
List Address: matchit(a)lists.gking.harvard.edu
Subscribe/Unsubscribe: http://lists.gking.harvard.edu/?info=matchit
MatchIt Software and Documentation: http://gking.harvard.edu/matchit/
Hello,
I would like to specify a gam for my propensity score model using matchit.
However, when I specify a nonparametric curve fit term in the matchit
formula (e.g., matchit(treat ~ s(covariate, k = 3), data = dftemp, distance
= "GAMlogit", method = "optimal", ratio = 2) ), I get an error. Am I
missing something obvious here?
Thanks in advance!
Lester Yuan