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Adds symmetric credible intervals based on quantiles.
calc_CrIs(samples, summarise_by = NULL, CrIs = c(0.2, 0.5, 0.9))
A data.table containing the summarise_by variables and the specified lower and upper credible intervals.
summarise_by
A data.table containing at least a value variable
A character vector of variables to group by.
Numeric vector of credible intervals to calculate.
samples <- data.frame(value = 1:10, type = "car") # add credible intervals calc_CrIs(samples) # add 90% credible interval grouped by type calc_CrIs(samples, summarise_by = "type")
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