Nothing

```
#' tidy up the estimate_m_rd output into something you can plot
#'
#' Internal function. See use in \code{\link{infer_m}}.
#' @param E the list returned by the estimation function
#' @param S the bin stats
#' @param TB the tidy bins
#' @param burn how much for burn in?
#' @keywords internal
#' @export
tidy_m_ests <- function(E, S, TB, burn = 50) {
# get the posteriors and the quantiles
posts <- tibble::tibble(bin = 1:nrow(E$Mtrace),
mean = rowMeans(E$Mtrace[, -(1:burn), drop = FALSE]),
lo95 = apply(E$Mtrace[, -(1:burn), drop = FALSE], 1, quantile, probs = 0.05),
hi95 = apply(E$Mtrace[, -(1:burn), drop = FALSE], 1, quantile, probs = 0.95)
) %>%
left_join(S, by = "bin")
# now, also get the traces for m values
trace <- tibble::tibble(
bin = rep(1:nrow(E$Mtrace), length.out = length(E$Mtrace)),
sweep = rep(1:ncol(E$Mtrace), each = nrow(E$Mtrace)),
value = as.numeric(E$Mtrace)
)
list(m_posteriors = posts,
m_traces = trace,
dp_summary = TB,
bin_stats = S,
num_sweeps = ncol(E$Mtrace),
burn_in = burn
)
}
```

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