Package: uncertainty 0.3.0

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 [aut, cre]

uncertainty_0.3.0.tar.gz
uncertainty_0.3.0.zip(r-4.7-any)uncertainty_0.3.0.zip(r-4.6-any)uncertainty_0.3.0.zip(r-4.5-any)
uncertainty_0.3.0.tgz(r-4.6-any)uncertainty_0.3.0.tgz(r-4.5-any)
uncertainty_0.3.0.tar.gz(r-4.7-any)uncertainty_0.3.0.tar.gz(r-4.6-any)
uncertainty_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
uncertainty/json (API)

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

On CRAN:

Conda:

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

1.11 score 13 scripts 238 downloads 10 exports 3 dependencies

Last updated from:4323db9293. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK130
linux-releaseOK79
macos-releaseOK115
macos-oldrelOK83
windows-develOK50
windows-releaseOK68
windows-oldrelOK59
wasm-releaseOK73

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

Dependencies:bootmvtnormtriangle