person("Philipp H", "Boersch-Supan", email = "pboesu@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0001-6723-6833")),
person("Leah R", "Johnson", email = "lrjohnson0@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-9922-579X")),
person("Sadie J", "Ryan", email = "datamonkey@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4308-6321"))
Suggests: testthat, knitr, rmarkdown, devtools, R.rsp, beanplot
Author: Philipp H Boersch-Supan [aut, cre]

Packaged: 2022-11-16 17:09:32 UTC; philipp.boerschsupan

Title: Bifurcation Analysis of Ordinary Differential Equation Systems
Authors@R: c(person("Andre M.", "de Roos", email = "A.M.deRoos@uva.nl", role = c("aut", "cre")))
Description: Shiny application that performs bifurcation and phaseplane analysis of systems of ordinary
differential equations. The package allows for computation of equilibrium curves as a function of
a single free parameter, detection of transcritical, saddle-node and hopf bifurcation points along
these curves, and computation of curves representing these transcritical, saddle-node and hopf
bifurcation points as a function of two free parameters. The shiny-based GUI allows visualization
of the results in both 2D- and 3D-plots. The implemented methods for solution localisation and curve
continuation are based on the book "Elements of applied bifurcation theory" (Kuznetsov, Y. A., 1995;
Imports: graphics, deSolve (>= 1.3), rootSolve (>= 1.8), rstudioapi (>=
0.13), shiny (>= 1.7), shinyjs (>= 2.0), shinydashboard (>=

Title: Parameter Inference for Systems of Differential Equation
Authors@R: c(person("Benn", "Macdonald", email = "Benn.Macdonald@glasgow.ac.uk", role = c("aut")),
person("Frank", "Dondelinger", email = "fdondelinger.work@gmail.com", role = c("aut", "cre")))
Description: Efficient Bayesian parameter inference for systems of ordinary
differential equations. The inference is based on adaptive gradient matching
(AGM, Dondelinger et al. 2013 <http://proceedings.mlr.press/v31/dondelinger13a.pdf>,
which offers orders-of-magnitude improvements in computational
efficiency over standard methods that require solving the differential
equation system. Features of the package include flexible specification
of custom ODE systems as R functions, support for missing variables,
Imports: deSolve, gdata, gptk, graphics, stats