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uncertainty
View on CRAN: Click
here
Download and install uncertainty package within the R console
Install from CRAN:
install.packages("uncertainty")
Install from Github:
library("remotes")
install_github("cran/uncertainty") Install by package version:
library("remotes")
install_version("uncertainty", "0.3.0") Attach the package and use:
library("uncertainty")
Maintained by
Hugo Gasca-Aragon
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-06
Latest Update: 2018-05-06
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.
How to cite:
Hugo Gasca-Aragon (2018). uncertainty: Uncertainty Estimation and Contribution Analysis. R package version 0.3.0, https://cran.r-project.org/web/packages/uncertainty. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.2.0 (2018-05-06 22:15)
Other packages that cited uncertainty R package
View uncertainty citation profile
Other R packages that uncertainty depends,
imports, suggests or enhances
Complete documentation for uncertainty
Functions, R codes and Examples using
the uncertainty R package
Some associated functions: plot.summary.uncertainty . plot.uncertainty . print.summary.uncertainty . print.uncertainty . print.uncertaintyBudget . summary.uncertainty . uncertainty-package . uncertainty.default . uncertainty . uncertaintyBudget.default . uncertaintyBudget .
Some associated R codes: plot.summary.uncertainty.R . plot.uncertainty.R . print.summary.uncertainty.R . print.uncertainty.R . print.uncertaintyBudget.R . summary.uncertainty.R . uncertainty-internal.R . uncertainty.R . uncertainty.default.R . uncertaintyBudget.R . uncertaintyBudget.default.R . Full uncertainty package functions and examples
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