lower: Lower Credible Limit

In poissonconsulting/extras: Helper Functions for Bayesian Analyses

Lower Credible Limit

Description

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.

Details

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

Value

A number.

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))

poissonconsulting/extras documentation built on July 4, 2025, 3:26 p.m.