Package: GSA.UN 1.0.0

GSA.UN: Global Sensitivity Analysis Tool

A tool to sensitivity analysis using SOBOL (Sobol, 1993) and AMA (Dell'Oca et al. 2017 <doi:10.5194/hess-21-6219-2017>) indices. It allows to identify the most sensitive parameter or parameters of a model.

Authors:Camila Garcia-Echeverri [aut, cre], Maria Arenas-Bautista [cot], Leonardo Donado [cot]

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GSA.UN.pdf |GSA.UN.html✨
GSA.UN/json (API)

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

Peer review:

Bug tracker:https://github.com/cagarciae/gsa.un/issues

Datasets:
  • CM - @title First four conditional moments of example data
  • data_Bstat - @title First four conditional moments of example data
  • out_set - @title Results of a sample model
  • parameters_set - @title Set of parameters randomly generated
  • pp_names - @title Example - parameters names

On CRAN:

5 exports 6.18 score 4 dependencies 285 mentions 2 scripts 125 downloads

Last updated 2 years agofrom:b09778c8cf. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winNOTESep 04 2024
R-4.5-linuxNOTESep 04 2024
R-4.4-winNOTESep 04 2024
R-4.4-macNOTESep 04 2024
R-4.3-winNOTESep 04 2024
R-4.3-macNOTESep 04 2024

Exports:AMABstatCond_MomentsGSAtoolSOBOL

Dependencies:classe1071MASSproxy

Examples GSA.UN

Camila Garcia-Echeverri

Rendered fromExamples_GSA.UN.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2020-07-09
Started: 2020-06-16