# table of rhat and effective sample size
require(dplyr)
converge.table <- function(m=drnma_RE,
ref.lab='placebo',
drug.lab=levels(antidep$drug), ...){
# data
ndrugs <- length(drug.lab)
ref.index <- which(levels(as.factor(drug.lab))==ref.lab)
labs <- drug.lab[drug.lab!=ref.lab]
mm <- m$BUGSoutput$summary %>%
t() %>%
data.frame() %>%
select(!ends_with(paste0(ref.index,'.'))& # exclude ref
starts_with('beta1.')|
!ends_with(paste0(ref.index,'.'))& # exclude ref
starts_with('beta2.')
)%>%
t()%>%
data.frame()
row.names(mm) <- c(paste0('beta1.',labs),paste0('beta2.',labs))
# table to return
tibble(Parameters=row.names(mm),
Rhat=mm[,'Rhat'],
'Effective Sample Size'=as.integer(mm[,'n.eff'])
)
}
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