solve_eqns

name of the model to be solved. Examples include: SIR and SIR vaccination.

eqns

named numeric vector specifying the initial conditions i.e. the initial values of all model variables.

numerical vector indicating the time points at which the equation should be solved.

times

named numeric vector of parameter values.

parms

This function solves an ODE model using 'deSolve' and returns the output as a data frame.

Provides interactive plotting for mathematical models of infectious disease spread. Users can choose from a variety of common built-in ordinary differential equation (ODE) models (such as the SIR, SIRS, and SIS models), or create their own. This latter flexibility allows 'shinySIR' to be applied to simple ODEs from any discipline. The package is a useful teaching tool as students can visualize how changing different parameters can impact model dynamics, with minimal knowledge of coding in R. The built-in models are inspired by those featured in Keeling and Rohani (2008) <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018) <doi:10.1007/978-3-319-97487-3>.

solve_eqns: Solve equations

Description

Usage

Arguments

Value