### jags models for continuous outcomes - positive outcome
nmajagsranks_con_B <- function(netdata) {
#transform the data into a list suitable for JAGS analysis
NMAdataContinuous=make.jagsNMA.data(studyid=id, t=t,
y=y, sd=sd, n=n,
data=netdata, type="cont", reference = min(netdata$t))
#run Jags and create a jags object
NMAinJAGS<- jags.parallel(data = NMAdataContinuous, inits = NULL,
parameters.to.save = c("SMD","tau", "SUCRA"),
n.chains = 2, n.iter = 10000,
n.burnin = 1000,DIC=F, n.thin = 2,
model.file = modelNMAContinuous_B)
#check chain mixing
traceplot(NMAinJAGS,varname="tau", ask=F )
SUCRAjags_ranks <- (NMAdataContinuous$nt+1) - rank(NMAinJAGS$BUGSoutput$mean$SUCRA)
SUCRAjags <- NMAinJAGS$BUGSoutput$mean$SUCRA
return(round(cbind("SUCRA jags"= SUCRAjags, "SUCRAjags ranks" = SUCRAjags_ranks), digits = 3))
}
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