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#' Summarize MCMC Samples in an mcmc.list Object Created by NIMBLE
#'
#' @param samples An object of class \code{mcmc.list}
#' @param params An optional list of the parameter names used to sort the output
#'
#' @return A data frame of summary information for each saved parameter
#'
#' @author Ken Kellner
#'
#' @export
nimbleSummary <- function(samples, params=NULL){
if(!is.null(params)) samples <- order_params(samples, params)
mat <- as.matrix(samples)
rhat <- sapply(1:ncol(samples[[1]]), function(i){
coda::gelman.diag(samples[,i], autoburnin=FALSE)$psrf[1,1]
})
stats <- t(apply(mat, 2, function(x){
x <- stats::na.omit(x)
c(mean=mean(x), sd=stats::sd(x), stats::quantile(x, c(0.025,0.5,0.975)))
}))
data.frame(stats, Rhat=rhat, check.names=FALSE)
}
order_params <- function(samples, parameters.to.save){
params <- colnames(samples[[1]])
params <- params[order(match(sapply(strsplit(params, "\\["), "[", 1),
sapply(strsplit(parameters.to.save, "\\["), "[", 1)))]
samples <- samples[,params, drop=FALSE]
return(samples)
}
#' @rdname nimbleSummary
#' @export
nimble_summary <- nimbleSummary
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