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r2sundials
View on CRAN: Click
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Download and install r2sundials package within the R console
Install from CRAN:
install.packages("r2sundials")
Install from Github:
library("remotes")
install_github("cran/r2sundials")
Install by package version:
library("remotes")
install_version("r2sundials", "6.5.0-5")
Attach the package and use:
library("r2sundials")
Maintained by
Serguei Sokol
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-08
Latest Update: 2023-12-08
Description:
Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) .
How to cite:
Serguei Sokol (2020). r2sundials: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem. R package version 6.5.0-5, https://cran.r-project.org/web/packages/r2sundials. Accessed 02 Feb. 2025.
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Some associated functions: get_cnst . r2cvodes . r2sundials-package .
Some associated R codes: RcppExports.R . package.R . zzz.R . Full r2sundials package functions and examples
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