probCI-numeric-method: Method to calculate confidence intervals for a vector of...
In pbox: Exploring Multivariate Spaces with Probability Boxes
probCI,numeric-method R Documentation
Method to calculate confidence intervals for a vector of probabilities
Description
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.
Usage
## S4 method for signature 'numeric'
probCI(probabilities, alpha = 0.05)
Arguments
probabilities
A numeric vector of probabilities.
alpha
A numeric value specifying the significance level for the confidence intervals; defaults to 0.05.
Value
A numeric vector containing the lower and upper quantile bounds for each probability in the input vector.
pbox documentation built on May 29, 2024, 7:37 a.m.
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| probCI,numeric-method | R Documentation |
Method to calculate confidence intervals for a vector of probabilities
Description
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.
Usage
## S4 method for signature 'numeric'
probCI(probabilities, alpha = 0.05)
Arguments
probabilities |
A numeric vector of probabilities. |
alpha |
A numeric value specifying the significance level for the confidence intervals; defaults to 0.05. |
Value
A numeric vector containing the lower and upper quantile bounds for each probability in the input vector.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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