cpCI

Clopper-Pearson confidence interval

Provides a fast calculation of the Blyth-Still-Casella confidence interval. The implementation follows the 'StatXact' 9 manual (Cytel 2010) and "Refining Binomial Confidence Intervals" by George Casella (1986) <doi:10.2307/3314658>.

Shimeng Huang

rbscCI

Blyth-Still-Casella Confidence Interval

Keith Winstein

cpCI function

<dl><dt>n_tot</dt>
<dd>Total number of experiments</dd>
<dt>n_suc</dt>
<dd>Number of successes</dd>
<dt>conf</dt>
<dd>Confidence level (1-alpha)</dd>
<dt>digits</dt>
<dd>Number of decimal places to be used</dd></dl>

Arguments

Clopper-Pearson confidence interval — cpCI

<dl>

<dt>n_tot</dt>
<dd>Total number of experiments</dd>


<dt>n_suc</dt>
<dd>Number of successes</dd>


<dt>conf</dt>
<dd>Confidence level (1-alpha)</dd>


<dt>digits</dt>
<dd>Number of decimal places to be used</dd>

</dl>

cpCI: Clopper-Pearson confidence interval

Description

Usage

Arguments

Details

Examples