Package: gsaot 0.1.0

Leonardo Chiani

gsaot: Compute Global Sensitivity Analysis Indices Using Optimal Transport

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.

Authors:Leonardo Chiani [aut, cre, cph], Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]

gsaot_0.1.0.tar.gz
gsaot_0.1.0.tar.gz(r-4.5-noble)gsaot_0.1.0.tar.gz(r-4.4-noble)
gsaot_0.1.0.tgz(r-4.4-emscripten)gsaot_0.1.0.tgz(r-4.3-emscripten)
gsaot.pdf |gsaot.html✨
gsaot/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/pietrocipolla/gsaot/issues

Pkgdown site:https://pietrocipolla.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

cpp

3.00 score 4 scripts 6 exports 36 dependencies

Last updated 5 hours agofrom:a3c45d7ab8. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 10 2025
R-4.5-linux-x86_64OKJan 10 2025

Exports:lower_boundot_indicesot_indices_1dot_indices_smapot_indices_wbplot_inner_stats

Dependencies:bootclicolorspacedata.tablefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigR6rbibutilsRColorBrewerRcppRcppEigenRdpackrlangscalestibbletransportutf8vctrsviridisLitewithr

GSA of a simple Gaussian model

Rendered fromgaussian-model-sensitivity.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2025-01-10
Started: 2025-01-10

Pick an OT solver

Rendered fromPick_a_solver.Rmdusingknitr::rmarkdownon Jan 10 2025.

Last update: 2025-01-10
Started: 2025-01-10