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ODEsensitivity
View on CRAN: Click
here
Download and install ODEsensitivity package within the R console
Install from CRAN:
install.packages("ODEsensitivity")
Install from Github:
library("remotes")
install_github("cran/ODEsensitivity") Install by package version:
library("remotes")
install_version("ODEsensitivity", "1.1.2") Attach the package and use:
library("ODEsensitivity")
Maintained by
Dirk Surmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-23
Latest Update:
Description:
Performs sensitivity analysis in ordinary differential equation (ode) models.
The package utilize the ode interface from 'deSolve' and connects it with the
sensitivity analysis from 'sensitivity'. Additionally we add a method to
run the sensitivity analysis on variables with class 'ODEnetwork'. A detailed
plotting function provides outputs on the calculations.
The method is described by Weber, Theers, Surmann, Ligges, and Weihs (2018) .
How to cite:
Dirk Surmann (2018). ODEsensitivity: Sensitivity Analysis of Ordinary Differential Equations. R package version 1.1.2, https://cran.r-project.org/web/packages/ODEsensitivity. Accessed 06 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for ODEsensitivity
Functions, R codes and Examples using
the ODEsensitivity R package
Some associated functions: ODEmorris.ODEnetwork . ODEmorris.default . ODEmorris . ODEsensitivity . ODEsobol.ODEnetwork . ODEsobol.default . ODEsobol . plot.ODEmorris . plot.ODEsobol . tdcc .
Some associated R codes: ODEmorris.ODEnetwork.R . ODEmorris.R . ODEmorris.default.R . ODEsensitivity-package.R . ODEsobol.ODEnetwork.R . ODEsobol.R . ODEsobol.default.R . plot.ODEmorris.R . plot.ODEsobol.R . plot_morris_aux.R . sobol_process.R . tdcc.R . zzImport.R . Full ODEsensitivity package functions and examples
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