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 [aut, cre], Ben Bolker [aut] Maintainer: Sang Woo Park <swp2 at princeton.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Materials: README In views: DifferentialEquations CRAN checks: fitode results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=fitode to link to this page.
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