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:
uncertainty_0.3.0.tar.gz
uncertainty_0.3.0.zip(r-4.7)uncertainty_0.3.0.zip(r-4.6)uncertainty_0.3.0.zip(r-4.5)
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4323db9293. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | OK | 97 | ||
| macos-release-arm64 | OK | 160 | ||
| macos-oldrel-arm64 | OK | 268 | ||
| windows-devel | OK | 71 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 85 |
Exports:plot.summary.uncertaintyplot.uncertaintyprint.summary.uncertaintyprint.uncertaintyprint.uncertaintyBudgetsummary.uncertaintyuncertaintyuncertainty.defaultuncertaintyBudgetuncertaintyBudget.default
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Uncertainty Estimation and Contribution Analysis | uncertainty-package |
| Plots an output quantity's uncertainty summary. It shows the uncertainty contribution from each involved input quantity | plot.summary.uncertainty |
| Plots a probability density function related to the measurement model | plot.uncertainty |
| Displays a list with the uncertainty contribution from each input quantity | print.summary.uncertainty |
| Displays the detailed content of a measurement model including its uncertainty estimate. | print.uncertainty |
| Prints an uncertainty budget object | print.uncertaintyBudget |
| Creates an uncertainty summary object | summary.uncertainty |
| Creates an uncertainty object for the output quantity of a measurement model | uncertainty |
| Generic function for calling an uncertainty object | uncertainty.default |
| Generic function for uncertainty budget object | uncertaintyBudget |
| Generic function for calling an uncertainty budget object | uncertaintyBudget.default |
