probCI

probCI-method

Calculates the confidence interval around a vector of probabilities
using the quantiles based on the specified significance level.

Advanced statistical library offering a method to encapsulate and query the probability space of a
dataset effortlessly using Probability Boxes (p-boxes). Its distinctive feature lies in the ease with
which users can navigate and analyze marginal, joint, and conditional probabilities while taking into account
the underlying correlation structure inherent in the data using copula theory and models. A comprehensive explanation is available in the paper
"pbox: Exploring Multivariate Spaces with Probability Boxes" to be published in the Journal of Statistical Software.

Ahmed T. Hammad

pbox

Exploring Multivariate Spaces with Probability Boxes

probCI function

<dl><dt>probabilities</dt>
<dd>A numeric vector of probabilities for which the confidence interval is desired.</dd>
<dt>alpha</dt>
<dd>The significance level used for constructing the confidence interval; default is 0.05.</dd></dl>

Arguments

Probability Confidence Interval — probCI

<dl>

<dt>probabilities</dt>
<dd>A numeric vector of probabilities for which the confidence interval is desired.</dd>


<dt>alpha</dt>
<dd>The significance level used for constructing the confidence interval; default is 0.05.</dd>

</dl>

probCI: Probability Confidence Interval

Description

Usage

Value

Arguments

Examples