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uncertainty (version 0.2.0)

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

0.2.0

License

GPL (>= 2)

Maintainer

Hugo Gasca-Aragon

Last Published

May 6th, 2018

Functions in uncertainty (0.2.0)

print.uncertainty

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

print.summary.uncertainty

Displays a list with the uncertainty contribution from each input quantity

uncertainty

Creates an uncertainty object

print.uncertaintyBudget

Prints an uncertainty budget object

plot.uncertainty

Plots a probability density function related to the measurand model

plot.summary.uncertainty

Plots an uncertainty summary. It shows the uncertainty contribution from each involved quantity

summary.uncertainty

Creates an uncertainty summary object

uncertaintyBudget.default

Generic function for calling an uncertainty budget object

uncertainty-package

Uncertainty Estimation and Contribution Analysis

uncertaintyBudget

Generic function for uncertainty budget object

uncertainty.default

Generic function for calling an uncertainty object