Package: uncertainty 0.2.0

uncertainty: Uncertainty Estimation and Contribution Analysis

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

Authors:Hugo Gasca-Aragon

uncertainty_0.2.0.tar.gz
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uncertainty.pdf |uncertainty.html
uncertainty/json (API)

# Install 'uncertainty' in R:
install.packages('uncertainty', repos = c('https://hugogasca.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 118 downloads 10 exports 3 dependencies

Last updated 7 years agofrom:36f2c7d6c7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:plot.summary.uncertaintyplot.uncertaintyprint.summary.uncertaintyprint.uncertaintyprint.uncertaintyBudgetsummary.uncertaintyuncertaintyuncertainty.defaultuncertaintyBudgetuncertaintyBudget.default

Dependencies:assertthatmvtnormtriangle