Clopper-Pearson confidence interval for binary data

Computes an exact binomial confidence interval for a proportion.

Usage

ci_clopper_pearson(x, n, conf_level = 0.95)

Arguments

x

Number of successes

n

Total number of trials

conf_level

Confidence level

Value

Named numeric vector, with confidence level stored as an attribute

Details

Used by the quantile-binned summary layer (see er_plot_add_quantiles()) to compute empirical response-rate confidence intervals. This assumes a binary (0/1) response.

Examples

ci_clopper_pearson(1, 10)
#>       lower       upper 
#> 0.002528579 0.445016117 
#> attr(,"conf_level")
#> [1] 0.95