probCI,numeric-method

This method calculates the lower and upper bounds of the confidence interval for each element in the
input vector of probabilities using the given alpha 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,numeric-method function

<dl><dt>probabilities</dt>
<dd>A numeric vector of probabilities.</dd>
<dt>alpha</dt>
<dd>A numeric value specifying the significance level for the confidence intervals; defaults to 0.05.</dd></dl>

Arguments

Method to calculate confidence intervals for a vector of probabilities — probCI,numeric-method

<dl>

<dt>probabilities</dt>
<dd>A numeric vector of probabilities.</dd>


<dt>alpha</dt>
<dd>A numeric value specifying the significance level for the confidence intervals; defaults to 0.05.</dd>

</dl>

probCI,numeric-method: Method to calculate confidence intervals for a vector of probabilities

Description

Usage

Value

Arguments