uncertainty (version 0.3.0)

Uncertainty Estimation and Contribution Analysis

Description

Implements the Gaussian method of first and second order, the Kragten numerical method and the Monte Carlo simulation method for uncertainty estimation and analysis.

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Version

Install

install.packages('uncertainty')

Monthly Downloads

181

Version

0.3.0

License

GPL (>= 2)

Maintainer

Hugo Gasca-Aragon

Last Published

December 14th, 2025

Functions in uncertainty (0.3.0)

plot.uncertainty

Plots a probability density function related to the measurement model

uncertaintyBudget

Generic function for uncertainty budget object

uncertainty

Creates an uncertainty object for the output quantity of a measurement model

uncertainty.default

Generic function for calling an uncertainty object

uncertaintyBudget.default

Generic function for calling an uncertainty budget object

print.uncertainty

Displays the detailed content of a measurement model including its uncertainty estimate.

plot.summary.uncertainty

Plots an output quantity's uncertainty summary. It shows the uncertainty contribution from each involved input quantity

print.summary.uncertainty

Displays a list with the uncertainty contribution from each input quantity

uncertainty-package

tools:::Rd_package_title("uncertainty")

print.uncertaintyBudget

Prints an uncertainty budget object

summary.uncertainty

Creates an uncertainty summary object