v0-set: Update the initial continuous state v0 in each node

In SimInf: A Framework for Data-Driven Stochastic Disease Spread Simulations

Update the initial continuous state v0 in each node

Description

Update the initial continuous state v0 in each node

Usage

v0(model) <- value

## S4 replacement method for signature 'SimInf_model'
v0(model) <- value

Arguments

model	The model to update the initial continuous state v0.
value	the initial continuous state in each node. Must be a data.frame or an object that can be coerced to a data.frame. A named numeric vector will be coerced to a one-row data.frame. Each row is one node, and the number of rows in v0 must match the number of nodes in model. Only the columns in v0 with a name that matches a continuous state in v0 in the model will be used

Examples

## Create an 'SISe' model with no infected individuals and no
## infectious pressure (phi = 0, epsilon = 0).
model <- SISe(u0 = data.frame(S = 100, I = 0), tspan = 1:100,
              phi = 0, upsilon = 0.02, gamma = 0.1, alpha = 1,
              epsilon = 0, beta_t1 = 0.15, beta_t2 = 0.15,
              beta_t3 = 0.15, beta_t4 = 0.15, end_t1 = 91,
              end_t2 = 182, end_t3 = 273, end_t4 = 365)

## Run the 'SISe' model and plot the result.
set.seed(22)
result <- run(model)
plot(result)

## Update the infectious pressure 'phi' in 'v0' and run
## the model again.
v0(model) <- data.frame(phi = 1)
result <- run(model)
plot(result)

SimInf documentation built on June 22, 2024, 9:27 a.m.