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gsaot  

Compute Global Sensitivity Analysis Indices Using Optimal Transport
View on CRAN: Click here


Download and install gsaot package within the R console
Install from CRAN:
install.packages("gsaot")

Install from Github:
library("remotes")
install_github("cran/gsaot")

Install by package version:
library("remotes")
install_version("gsaot", "1.1.1")



Attach the package and use:
library("gsaot")
Maintained by
Leonardo Chiani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-10
Latest Update: 2025-07-18
Description:
Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
How to cite:
Leonardo Chiani (2025). gsaot: Compute Global Sensitivity Analysis Indices Using Optimal Transport. R package version 1.1.1, https://cran.r-project.org/web/packages/gsaot. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-01-10 15:00), 0.2.0 (2025-04-21 11:20), 1.0.0 (2025-06-18 01:30), 1.1.0 (2025-07-18 11:40)
Other packages that cited gsaot R package
View gsaot citation profile
Other R packages that gsaot depends, imports, suggests or enhances
Complete documentation for gsaot
Functions, R codes and Examples using the gsaot R package
Full gsaot package functions and examples
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