Displaying 3 results from an estimated 3 matches for "solve_sir_model".
2017 Jun 21
4
How to apply a system of ordinary differential equations to a cell grid?
...400, 600), 10, replace = TRUE),
gamma = sample(c(25, 26, 27, 28), 10, replace = TRUE))
To study the disease dynamics, I also am developing a compartmental model based on a system of ordinary differential equations (ODEs). Here is an example to represent the system of ODEs:
solve_sir_model <- function (times, parameters) {
sir_model <- function (times, states, parameters) {
with(as.list(c(states, parameters)), {
dSdt <- -beta*S*I
dIdt <- beta*S*I-gamma*I
dRdt <- gamma*I
dNdt <- dSdt + dIdt + dRdt
return(list(c(dSdt, dIdt, dRdt...
2017 Jul 17
0
How to apply a system of ordinary differential equations to a cell grid?
...e variables rather than the rate of
> change. This can be used for individual based models, for difference
> equations, or in those cases where the integration is performed within
> func).
I have tested the method but I don't understand why it doesn't work with one time step:
solve_sir_model <- function (times, parameters) {
sir_model <- function (times, states, parameters) {
with(as.list(c(states, parameters)), {
dSdt <- -beta*S*I
dIdt <- beta*S*I-gamma*I
dRdt <- gamma*I
dNdt <- dSdt + dIdt + dRdt
re...
2017 Jun 21
0
How to apply a system of ordinary differential equations to a cell grid?
...TRUE),
> gamma = sample(c(25, 26, 27, 28), 10, replace = TRUE))
>
> To study the disease dynamics, I also am developing a compartmental model based on a system of ordinary differential equations (ODEs). Here is an example to represent the system of ODEs:
>
> solve_sir_model <- function (times, parameters) {
>
> sir_model <- function (times, states, parameters) {
>
> with(as.list(c(states, parameters)), {
>
> dSdt <- -beta*S*I
> dIdt <- beta*S*I-gamma*I
> dRdt <- gamma*I
> dNdt <- dSdt + dIdt + dRd...