Hi,I am using Amelia to simulate missing vote values for French elections (before performing multiparty electoral data analysis using Clarify).I need to make sure that after the simulation the sum of the votes for the different parties (vFN + vPC + vPS + vUMP + vVerts) is below one (these are the main parties and some much smaller parties are not included).I thought the prior I generated (see below) would make the trick but it does not seem to work.And the thing is that in the imputed data I generate now, the sum of the votes is very often above 1 which makes no sense (and generate issue then on Clarify with the logistic transformation).Any idea of how I could handle that?Many thanks in advance,Best,JuliaHere is my code:database <- read.dta13("rall.dta")
prior <- matrix(NA, nrow=nrow(database),ncol=5)
for (i in 1:nrow(database)){
v3 <- database$vFN[i]
v5 <- database$vPC[i]
v7 <- database$vPS[i]
v9 <- database$vUMP[i]
v11 <- database$vVerts[i]
prior[i,] <- c(i, 3, 0, 1 - v5+v7+v9+v11, 0.999999)
}
prior <- prior[!is.na(prior[,4]),]
a.out <- amelia(database, m = 5,ts="year", cs = "district",priors=prior,lgstc=c("vFN","vPC","vPS","vUMP"," vVerts"),bound=rbind(c(4,0, Inf),c(6,0,Inf),c(8,0,Inf),c( 10,0,Inf),c(12,0,Inf)))
write.amelia(obj=a.out, file.stem = "R19932012/outdata", format = "dta")
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