Package: ospsuite.globalsensitivity 1.0.0

Abdullah Hamadeh

ospsuite.globalsensitivity: Open Systems Pharmacology Global Sensitivity Package

A global sensitivity analysis for Open Systems Pharmacology models.

Authors:Abdullah Hamadeh

ospsuite.globalsensitivity_1.0.0.tar.gz
ospsuite.globalsensitivity_1.0.0.zip(r-4.7-any)ospsuite.globalsensitivity_1.0.0.zip(r-4.6-any)ospsuite.globalsensitivity_1.0.0.zip(r-4.5-any)
ospsuite.globalsensitivity_1.0.0.tgz(r-4.6-any)ospsuite.globalsensitivity_1.0.0.tgz(r-4.5-any)
ospsuite.globalsensitivity_1.0.0.tar.gz(r-4.7-any)ospsuite.globalsensitivity_1.0.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ospsuite.globalsensitivity/json (API)

# Install 'ospsuite.globalsensitivity' in R:
install.packages('ospsuite.globalsensitivity', repos = c('https://open-systems-pharmacology.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/open-systems-pharmacology/ospsuite.globalsensitivity/issues

Pkgdown/docs site:https://www.open-systems-pharmacology.org

On CRAN:

Conda:

4.96 score 3 stars 17 scripts 17 exports 107 dependencies

Last updated from:61bddd50b2 (on v1.0.0). Checks:7 ERROR, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR192
source / vignettesOK401
linux-releaseERROR196
macos-releaseERROR138
macos-oldrelERROR91
windows-develERROR162
windows-releaseERROR162
windows-oldrelERROR153
wasm-releaseFAIL139

Exports:distributiongenerateEFASTBarGraphgenerateMorrisPlotgenerateSobolBarGraphgenerateTornadoPlotgetContourPlotLogNormalDistributionLogUniformDistributionNormalDistributionrunEFASTrunGUIrunMorrisrunSobolrunSUSAOutputSAParameterUniformDistribution

Dependencies:backportsbase64encbitbit64bslibcachemcheckmateclicliprcommonmarkcowplotcpp11crayoncurldata.tabledeldirdigestdplyrevaluatefarverfastmapfitdistrplusfontawesomefsgenericsggh4xggnewscaleggplot2ggtextgluegridtextgtablehighrhmshtmltoolshtmlwidgetshttpuvinterpisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelifecyclelitedownloggermagrittrmarkdownMASSMatrixmemoisemimeopenxlsxospsuiteospsuite.plotsospsuite.utilsotelpatchworkpillarpkgconfigpngprettyunitsprogresspromisespurrrR6randtoolboxrappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrngWELLrSharpS7sassscalesshinyshinyjsshinyTreesourcetoolsstringistringrsurvivaltibbletictoctidyrtidyselecttinytextlftzdbutf8vctrsviridisLitevroomwithrwritexlxfunxml2xtableyamlzip

Getting started
Installation | Overview of the workflow | Loading PKML models | Specifying model parameters for analysis | Specifying model outputs for analysis | Running one-at-a-time analyses (local and uncertainty analysis) | Running the Morris (global) sensitivity method | Running variance-based Global Sensitivity Analyses (Sobol and EFAST) | Using the graphical user interface and R script generation | Next steps

Last update: 2026-06-25
Started: 2026-06-25

Mathematical overview of variance-based methods
Mathematical derivation | Computation of variance-based sensitivity indices | Homma & Saltelli (Sobol) | EFAST | References

Last update: 2026-06-25
Started: 2026-06-25

Midazolam DDI example
Background | Parameters analyzed | Loading the package and simulations | Specifying the input parameters | Specifying the model output | Running the sensitivity analyses | Interpreting the results

Last update: 2026-06-25
Started: 2026-06-25

UV filter formulation example
Parameters analyzed | Loading the package and simulation | Specifying the input parameters | Specifying the model output | Running the sensitivity analyses | Interpreting the results

Last update: 2026-06-25
Started: 2026-06-25

Readme and manuals

Help Manual

Help pageTopics
distributiondistribution
generateEFASTBarGraphgenerateEFASTBarGraph
generateMorrisPlotgenerateMorrisPlot
generateSobolBarGraphgenerateSobolBarGraph
generateTornadoPlotgenerateTornadoPlot
Generate Response Surface Contour Plots for eFAST ResultsgetContourPlot
LogNormalDistributionLogNormalDistribution
LogUniformDistributionLogUniformDistribution
NormalDistributionNormalDistribution
runEFASTrunEFAST
runGUIrunGUI
runMorrisrunMorris
runSobolrunSobol
runSUrunSU
SAOutputSAOutput
SAParameterSAParameter
UniformDistributionUniformDistribution