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Calculates the quantile-based lower credible limit.

Usage

lower(x, conf_level = 0.95, na_rm = FALSE)

Arguments

x

A numeric vector of MCMC values.

conf_level

A numeric scalar between 0 and 1 specifying the confidence level.

na_rm

A flag specifying whether to remove missing values.

Value

A number.

Details

By default it returns the 95% credible limit which corresponds to the 2.5% quantile.

See also

Other summary: kurtosis(), pvalue(), pzeros(), skewness(), svalue(), upper(), variance(), xtr_mean(), xtr_median(), xtr_sd(), zeros(), zscore()

Examples

lower(as.numeric(0:100))
#> [1] 2.5