library(modelbuilder)
library(here)
# load the base model
model_name <- "Coronavirus_vaccine_model_v2.Rds"
# model_name <- "SIRSd2.Rds"
mbmodel <- readRDS(here("auxiliary",
"vaccine_model_testing",
"base_models",
model_name))
# create list mapping parameter stratifications to state variable
par_stratify_list <- generate_stratifier_list(mbmodel)
# make first stratification by risk profile
stratum_list <- list(
stratumname = "risk",
names = c("high risk", "low risk"),
labels = c("h", "l"),
comment = "This defines the risk structure."
)
risk_model <- generate_stratified_model(mbmodel = mbmodel,
stratum_list = stratum_list,
par_stratify_list = par_stratify_list)
mbmodel$var[[1]]$flows
risk_model$var[[1]]$flows
generate_ode(risk_model)
# now stratify again by age
stratum_list <- list(
stratumname = "age",
names = c("children", "adults", "elderly"),
labels = c("c", "a", "e"),
comment = "This defines the age structure."
)
par_stratify_list <- generate_stratifier_list(risk_model)
strat_model <- generate_stratified_model(mbmodel = risk_model,
stratum_list = stratum_list,
par_stratify_list = par_stratify_list)
generate_tables(strat_model)
mbmodel$var[[1]]$flows # S
risk_model$var[[1]]$flows # Sh
strat_model$var[[1]]$flows # Shc
mbmodel$var[[2]]$flows # P
risk_model$var[[3]]$flows # Ph
strat_model$var[[7]]$flows # Phc
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.