[cem] Imputations and subsequent matching

library(Amelia) amelia(a3,idvars="tr",m=5,noms="d30",ords=c("ai","gcm","gce","gcv"))->a3.impu #plot(a3.impu,overimpute=T)--OK a3.imput<-a3.impu$imputations[1:5] library(MatchIt) cem("tr",datalist=a3.imput,drop="bac",data=a3)->imp.match imp.match ##z.o<-zelig(gcsmottak~ais+as.numeric(bac)+as.numeric(age),data=list(en),model="ls")..........cannot match using zelig out <- att(imp.match, gcso ~ as.numeric(bac)+as.numeric(age), data=a3) ##results in the following: Linear regression model on CEM matched data: Error in print.cem.att(list(mult = list(list(att.model = c(14.5304012233110, : subscript out of bounds Any ideas? Also-Is there an easy way to extract the matched cases from imp.match? Matchit has the match.data option, but as far as I understand I cannot use imputed data as input to matchit. Regards, M - cem Mailing List, served by Harvard-MIT Data Center Send messages: cem(a)lists.gking.harvard.edu [un]subscribe Options: http://lists.gking.harvard.edu/?info=cem More information on cem: http://gking.harvard.edu/cem