fitode: Tools for Ordinary Differential Equations Model Fitting

Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.

Version: 0.1.1
Depends: R (≥ 4.0), bbmle
Imports: deSolve, Deriv, MASS, numDeriv, mvtnorm, coda, methods
Suggests: knitr, ggplot2, testthat (≥ 3.0.0)
Published: 2022-10-29
DOI: 10.32614/CRAN.package.fitode
Author: Sang Woo Park ORCID iD [aut, cre], Ben Bolker ORCID iD [aut]
Maintainer: Sang Woo Park <swp2 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: DifferentialEquations
CRAN checks: fitode results


Reference manual: fitode.pdf
Vignettes: Getting started with fitode package


Package source: fitode_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): fitode_0.1.1.tgz, r-oldrel (arm64): fitode_0.1.1.tgz, r-release (x86_64): fitode_0.1.1.tgz, r-oldrel (x86_64): fitode_0.1.1.tgz


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