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Calculates the quantile-based lower credible limit.
lower(x, conf_level = 0.95, na_rm = FALSE)
A number.
A numeric vector of MCMC values.
A numeric scalar between 0 and 1 specifying the confidence level.
A flag specifying whether to remove missing values.
By default it returns the 95% credible limit which corresponds to the 2.5% quantile.
Other summary: kurtosis(), pvalue(), pzeros(), skewness(), svalue(), upper(), variance(), xtr_mean(), xtr_median(), xtr_sd(), zeros(), zscore()
kurtosis()
pvalue()
pzeros()
skewness()
svalue()
upper()
variance()
xtr_mean()
xtr_median()
xtr_sd()
zeros()
zscore()
lower(as.numeric(0:100))
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